## SDET (Software Development Engineer in Test) – Playwright & TypeScript
### **Role Overview**
The Software Development Engineer in Test (SDET) is responsible for designing, developing, and maintaining automated testing solutions. This role focuses on the creation of scalable test frameworks using **Playwright** and **TypeScript/JavaScript** to ensure the high quality and reliability of web applications. You will collaborate with cross-functional teams to integrate quality gates into the CI/CD pipeline and drive automated testing strategies.
### **Key Responsibilities**
- **Automation Development:** Design and implement robust, maintainable end-to-end (E2E) automation frameworks using Playwright.
- **Scripting:** Write clean, modular, and reusable automated test scripts in TypeScript or JavaScript.
- **Integration:** Integrate automated test suites into CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI) for continuous feedback.
- **API Testing:** Develop and execute automated tests for RESTful APIs to ensure backend stability.
- **Collaboration:** Partner with developers and product managers to define test criteria and identify automation opportunities early in the SDLC.
- **Maintenance:** Debug, troubleshoot, and resolve issues within the automation framework and test scripts to minimize flakiness.
- **Code Review:** Participate in code reviews for both application and test code to maintain high engineering standards.

### **Technical Requirements**
- **Experience:** 5+ years in software automation or development.
- **Core Toolset:** Proven expertise in **Playwright** and its features (fixtures, locators, tracing).
- **Languages:** Strong proficiency in **TypeScript** or **JavaScript** (ES6+).
- **Architecture:** Hands-on experience with the **Page Object Model (POM)** and other modern automation patterns.
- **DevOps:** Experience with version control (Git) and CI/CD tools.
- **Databases:** Ability to write SQL queries for data validation and test setup.

SDET QA Automation

8523 - SDET QA Automation

8522 - SDET QA Automation

## Intermediate Quality Engineer (QE)
### **Role Overview**
The **Intermediate Quality Engineer** is responsible for establishing and executing a comprehensive quality strategy for complex software modules. This individual bridges the gap between manual exploratory testing and technical automation by applying **Object-Oriented Programming (OOP)** principles to design and maintain scalable test suites. The candidate is expected to be tool-agnostic, focusing on high-level architectural patterns that ensure long-term framework maintainability and reliability.
### **Key Responsibilities**
- **Technical Test Design:** Develops and implements test strategies that prioritize risk-based testing, ensuring critical business logic is validated through a combination of manual and automated methods.
- **OOP Framework Contribution:** Designs and maintains modular test components using **Object-Oriented Programming** (e.g., Page Object Model, Factory Pattern, or Singleton) to ensure code reusability and minimize technical debt.
- **Independent Troubleshooting:** Conducts deep-dive investigations into system failures by analyzing backend logs, database state, and API responses to isolate root causes.
- **API & Integration Testing:** Validates the interaction between microservices, ensuring that data contracts are honored and system integrations are resilient.
- **Quality Advocacy:** Participates in technical design reviews and refinement sessions to identify potential edge cases and "testability" hurdles before development begins.
- **Continuous Improvement:** Monitors test execution results and refactors brittle code to improve the stability and performance of the automation suite.

### **Technical Requirements**
- **Experience:** 3+ years in a technical QA or Quality Engineering role.
- **Programming Mastery:** Solid understanding of **OOP concepts** (Inheritance, Polymorphism, Encapsulation, and Abstraction) in a modern language such as **TypeScript, Java, or Python**.
- **API Testing:** Proficient in testing RESTful or GraphQL services using both automated libraries and manual tools (e.g., Postman).
- **Data Manipulation:** Competent in writing complex SQL queries to validate data persistence and perform test data setup/teardown.
- **Infrastructure Literacy:** Familiarity with Git-based workflows and an understanding of how automated tests integrate into CI/CD pipelines.

### 

8520 - QA

8519 - QA

## JR 4254
## Senior Quality Engineer (QE)
### **Role Overview**
The **Senior Quality Engineer** is a technical leader responsible for the overall quality architecture and testing strategy of a product domain. This role requires a high degree of technical autonomy, moving beyond test execution to focus on building resilient systems, mentoring team members, and establishing quality standards across the SDLC. The Senior QE leverages **Object-Oriented Programming (OOP)** to build scalable, tool-agnostic automation solutions and acts as a primary consultant for developers on system testability.
### **Key Responsibilities**
- **Strategic Leadership:** Defines and drives the long-term quality roadmap, ensuring that testing efforts align with business goals and technical architecture.
- **Framework Architecture:** Designs and refines sophisticated automation frameworks using **OOP principles** (Abstraction, Encapsulation, Polymorphism) to ensure high maintainability and minimal execution overhead.
- **Risk Management:** Performs comprehensive risk assessments for complex system changes, identifying potential points of failure in distributed architectures and microservices.
- **Advanced Troubleshooting:** Leads the investigation of critical production issues, utilizing advanced observability tools and database profiling to identify root causes and implement preventative measures.
- **Technical Mentorship:** Acts as a mentor to Junior and Intermediate QEs, conducting high-level code reviews and fostering a culture of technical excellence and continuous learning.
- **Shift-Left Advocacy:** Influences the development process by participating in architectural reviews and advocating for testable code, automated unit tests, and robust contract testing.
- **CI/CD Optimization:** Collaborates with DevOps to optimize the automation pipeline, focusing on sharding, parallelization, and reducing feedback loops.

8518 - QA

### **Role Overview**
The **Junior Quality Engineer** is a foundational role focused on ensuring product excellence through a mix of manual exploratory testing and basic technical intervention. While the primary focus is on functional validation and the user experience, you are expected to possess a **basic understanding of programming** to assist in debugging, reading test code, and communicating effectively with the development team.
### **Key Responsibilities**
- **Functional Testing:** Execute manual test cases across web and mobile platforms to validate that features meet business requirements.
- **Bug Lifecycle Management:** Identify, document, and track software defects in Jira. Provide detailed reproduction steps, logs, and screenshots.
- **Technical Troubleshooting:** Use Browser Developer Tools (Console, Network tab) to diagnose if a failure is a front-end UI issue or a back-end API error.
- **Test Case Design:** Write structured test plans and test cases that cover positive, negative, and edge-case scenarios.
- **Automation Support:** Read and understand existing automation scripts (e.g., Playwright/Cypress) to identify why a test failed or to update simple locators.
- **Regression Testing:** Perform rigorous testing after code deployments to ensure new changes haven't broken existing functionality.

### **Technical Requirements**
- **Programming Basics:** Fundamental understanding of variables, loops, conditionals, and data structures (JSON/Objects) in **JavaScript** or **TypeScript**.
- **Web Fundamentals:** Knowledge of HTML/CSS selectors (IDs, Classes, XPaths) and how the DOM works.
- **API Basics:** Ability to use tools like Postman or Insomnia to send GET/POST requests and verify status codes.
- **Version Control:** Basic familiarity with Git (Cloning a repo, pulling changes).
- **Agile Literacy:** Understanding of Scrum ceremonies (Daily Stand-ups, Sprint Planning, Retrospectives).

8517 - QA

### JR4326
### **Job Summary**
The Junior Quality Engineer will bridge the gap between manual testing and automated verification. This role is for a candidate with a **technical foundation** who can analyze code, understand system architecture, and write basic scripts to support quality efforts. You will be responsible for ensuring functional correctness while identifying technical debt and logic flaws.
### **Core Responsibilities**
- **White-Box Testing Awareness:** Go beyond the UI to understand how the code functions. Review basic pull requests and identify potential logic gaps.
- **Scripting & Utilities:** Write small scripts (Python, PowerShell, or JavaScript) to automate repetitive tasks, such as data generation or environment setup.
- **Test Execution & Analysis:** Perform functional and regression testing, with the ability to debug failures by looking at application logs and source code.
- **API & Integration Testing:** Validate back-end services using Postman or cURL, understanding JSON/XML structures and HTTP status codes.
- **Defect Documentation:** Provide highly technical bug reports that include stack traces, database state, and potential root-cause analysis.

### **Technical Requirements**
- **Control Flow Mastery:** Deep understanding of loops (`for`, `while`), conditional logic (`if/else`, `switch`), and data structures (Arrays, Lists, Maps/Dictionaries).
- **Language Proficiency:** Basic competency in at least one object-oriented or scripting language (e.g., Java, C#, Python, or JavaScript).
- **SQL Knowledge:** Ability to perform CRUD operations and write complex joins to validate back-end data consistency.
- **Version Control:** Fundamental understanding of **Git** (clone, pull, commit, push, and branching strategies).
- **Web Technologies:** Understanding of the DOM, CSS selectors, and how the client-side interacts with the server.

### **Personal Attributes**
- **Analytical Logic:** The ability to trace a requirement through the code logic to find where it might fail.
- **Technical Communication:** Can speak "Developer" and "Product" fluently.

8516 - QA

JR 4321

**About This Job**

Designs, develops, and maintains software applications. Leads a team of developers, provides technical guidance, and ensures project deadlines are met. Collaborates with cross-functional teams to identify and solve complex software problems. Stays up-to-date with emerging trends and technologies in software development.
- Design and develop distributed systems using microservices principles.
- Build and maintain RESTful and/or GraphQL APIs for internal and external integrations.
- Apply best-practice software design patterns to ensure maintainable and scalable code.
- Work closely with product owners, architects, and DevOps teams to deliver solutions.
- Ensure robust testing and CI/CD integration for all deliverables.
- Explore emerging technologies and contribute to architectural improvements.
- Collaborates with cross-functional teams to identify and resolve software issues.
- Advises developers on best methods of software development and code creation.
- Monitors and modifies development work to make sure resulting software meets established goals.
- Tests and debugs software to ensure high-quality and error-free products.

Java Java

8515 - Java Java

# **Senior Full Stack Engineer**
**Focus:** 70% Front-End | 30% Back-End
## **Role Overview**
We are seeking a **Senior Full Stack Engineer** to help drive innovative digital solutions by combining strong **front-end expertise in React** with **back-end development using Node.js and GraphQL**.
This role offers the opportunity to contribute to modern digital platforms at the intersection of **technology and education**, building scalable user experiences and robust backend services.
As a Full Stack Engineer, you will develop both front-end and back-end components using modern technologies such as **React, TypeScript, JavaScript, HTML5, CSS3**, and **Node.js**, while contributing to scalable, secure, and high-performing applications.
# **Duties and Responsibilities**
- Develop robust and user-friendly **front-end applications** using **React, Next.js, TypeScript, JavaScript, HTML5, and CSS3**
- Design and implement **scalable, low-latency backend services** using **Node.js**, GraphQL, and REST APIs
- Integrate **user-facing elements with server-side logic** while ensuring high availability, security, and performance
- Implement and maintain **Stripe payment integrations**, including payment workflows, subscriptions, and secure transaction handling
- Collaborate with **cross-functional teams** to architect, develop, and maintain end-to-end solutions
- Contribute to a culture of **innovation, continuous improvement, and adoption of modern technologies**

# **Basic Qualifications**
- Bachelor’s degree in **Computer Science, Engineering, or a related technical field**, or equivalent practical experience
- Minimum **3+ years of experience in Full Stack Development**, with expertise in **React and Node.js**
- Strong proficiency with **React, TypeScript, Next.js, HTML5, CSS3, and JavaScript**
- Hands-on experience with **Node.js** building scalable backend services and APIs
- Experience implementing **Stripe integrations** for payment processing, subscriptions, or billing systems
- Strong focus on quality through **observability, error handling, performance monitoring, unit testing, and end-to-end testing**
- Excellent **communication and collaboration skills**, with the ability to work effectively with technical and business stakeholders
- Experience developing **secure web applications** and familiarity with common application vulnerabilities

# **Additional Qualifications & Skills**
- Experience working with **GraphQL**, including queries, mutations, and subscriptions
- Familiarity with **database systems and ORM libraries**, such as **PostgreSQL or DynamoDB**
- Experience building **serverless AWS applications**, using services such as **Lambda, Amplify, and DynamoDB**
- Familiarity with **CI/CD best practices**, including **pre-commit hooks, GitHub Actions, and AWS CDK**

React JavaScript

8508 - React JavaScript

# **Full-Stack Engineer – Open Learning Platform**
# **Role Overview**
The **Open Learning Engineering team** is seeking experienced, adaptable, and highly motivated engineers to join a distributed engineering team.
A key trait for success in this role is **thought leadership through problem solving**. The ideal candidate demonstrates independent creativity, curiosity to research new technologies and methodologies, and a strong desire to investigate complex technical issues while respecting timelines and team commitments.
This role will primarily focus on building the next generation of **platform capabilities and interactive digital learning resources** within the Open Learning ecosystem. These capabilities support instruction and enable innovative digital learning experiences for modern education platforms.
## **What You Will Do**
- Collaborate effectively with **product stakeholders and engineering leadership** to deliver high-quality solutions
- Analyze business requirements and identify potential gaps, ambiguities, or missing scenarios
- Design and implement **scalable engineering solutions** aligned with business needs
- Work with a **distributed engineering team** to solve complex problems quickly and collaboratively
- Build **high-quality, user-friendly, scalable, and reusable web components and microservices**
- Contribute to continuous improvements in system reliability, performance, and maintainability

## **Technology Stack**
**65% Frontend - 35% Backend**
**Front-end:** TypeScript, Angular, NgRx/RxJS, React, Playwright
**Back-end:** Go (primary), Node.js
**Databases:** MySQL, PostgreSQL, DynamoDB
**CI/CD & Infrastructure:** GitHub (version control & Actions), CircleCI, SonarQube, Docker, Kubernetes, New Relic
**Cloud:** Amazon Web Services (AWS) – EKS, ECS, RDS, Lambda, and additional services
**Collaboration Tools:** JIRA, Confluence, Zoom, Slack, Office 365
## **Required Qualifications**
- **3+ years of experience** working with Angular 2+
- **3+ years of experience** working with back-end languages such as **Go (preferably), Node.js, or similar technologies**
- **Experience delivering software with distributed product and engineering teams**
- Ability to work in a **fast-paced release environment**, delivering production-grade software with high reliability and availability
- Experience contributing across the **full software development lifecycle**, including coding, testing, documentation, and performance engineering
- Passion for building **scalable APIs and intuitive user interfaces** that provide engaging digital experiences

## **Strong Applied Knowledge**
- JavaScript frameworks and libraries such as **Angular, React, Vue, or MUI**
- Front-end application architecture and design patterns
- Designing and consuming **RESTful web services**
- Relational database design concepts (MySQL, PostgreSQL)
- Application testing including **unit, integration, performance, and end-to-end testing**
- Cloud technologies, preferably **AWS services such as RDS, EKS, ECS, Elasticsearch, SQS, SNS, and S3**
- Responsive web design and development
- Accessibility and inclusive design principles
- Code quality practices and peer code reviews
- Build and deployment tooling such as **GitHub Actions, CircleCI, and npm**

Angular 2+ JavaScript

8507 - Angular 2+ JavaScript

JR3970

**About This Job**

Facilitates Agile ceremonies, coaches team on Agile principles, ensures team adheres to Scrum framework, removes impediments, tracks progress and metrics, communicates with stakeholders, manages project scope, budget, and timeline, and ensures timely delivery of high-quality products.
- Coaching the scrum team to apply appropriate processes to create successful products.
- Ensuring scrum principles and approaches are understood correctly by the development team and stakeholders; maximizing the performance of the team.
- Monitoring and improving the scrum process and project progress; helping solve impediments in the development process.
- Fostering self-organization and collaborative scrum team; sheltering the team from outside distractions to keep focus mainly on the agreed sprint goals.
- Facilitates daily stand-up meetings.
- Identifies and resolves project roadblocks.

Scrum Master Product Administration

8505 - Scrum Master Product Administration

## **Key Responsibilities**
### **1. Backend Services & Platform Development**
- Build and maintain backend microservices using **Python** and **FastAPI**.
- Contribute to the development of a new conversational AI platform capable of two‑way autonomous interactions with customers.
- Implement integrations with third‑party APIs to support real‑time data retrieval by agents.
- Support data storage and retrieval using **PostgreSQL** and flexible data formats (e.g., JSON for AI reasoning artifacts).

### **2. Infrastructure & Cloud Engineering**
- Develop services deployed on **AWS**, including workloads running on **Kubernetes (EKS)**.
- Collaborate on system design decisions related to routing layers, agent harnesses, and scalable microservices architecture.
- Participate in CI/CD workflows using **GitLab**.

### **3. Observability, Logging & Testing**
- Build systems with proper observability using **Datadog**, including logging, metrics, and performance monitoring.
- Support testing practices that include:Manual and automated test pipelines
LLM‑as‑judge evaluation frameworks
Golden datasets for conversation quality assurance


### **4. Support for Agentic & AI Features**
- Work with internal tools and frameworks that coordinate AI agents, including:Multi‑model routing between Gemini, OpenAI, Anthropic, etc.
AWS Bedrock agents when applicable

- Collaborate with AI‑focused teammates on agent scaffolding, RAG workflows, and evaluation tools.
- Learn and grow into the AI‑centric aspects of the platform, even if not initially experienced.

### **5. Cross‑Team Collaboration & Product Execution**
- Work closely with a 15‑person development team, including long‑tenured Uno Square engineers.
- Collaborate directly with other backend engineers, frontend developers, and AI specialists.
- Participate in project scoping and solution design in a startup‑like environment with evolving requirements.
- Integrate smoothly into existing engineering teams rather than forming isolated special-purpose groups.

## **Required Qualifications**
- Strong proficiency in **Python** and backend development.
- Experience with **FastAPI**, **PostgreSQL**, and microservices architectures.
- Hands-on experience with **AWS** (EKS/Kubernetes strongly preferred).
- Familiarity with modern CI/CD (preferably GitLab).
- Experience building scalable backend systems and API integrations.
- Ability to collaborate in a fast-paced, ambiguous environment.

## **Preferred Qualifications**
- Familiarity with agentic AI, LLM orchestration, or multi-model routing.
- Exposure to AWS Bedrock agents, OpenAI, Anthropic, Gemini, or similar ecosystems.
- Experience with observability tooling such as **Datadog**.
- Understanding of or interest in RAG systems and AI evaluation methodologies.
- Knowledge of TypeScript‑based UI stacks (Vite, Mantine) is a plus but not required.

Python Python

8499 - Python Python

**Job Description**

**Job Summary**

As a Lead Software Engineer, you will collaborate with and guide software engineers, data scientists, and machine learning engineers to develop AI-based software solutions that address the needs of our constituents (students, alumni, faculty, researchers, staff, and the broader community).
You will help improve how we engage, educate, and empower people around the world by combining human-centered approaches with scalable technology. This includes exploring the use of generative AI models, blended and immersive environments, multimodal content, and innovative research and teaching methodologies.

**Job Responsibilities**

• Develop production-ready software solutions that solve real business problems while considering business needs and the existing technology and operations landscape.
• Lead interactions with internal stakeholders and technology teams on specific projects and initiatives.
• Apply software engineering, data science, machine learning, and AI techniques to derive business value from internal and external data using cloud-based technologies.
• Design solutions, develop initial code, and provide documentation to minimize time-to-value and maximize reusability.
• Translate complex data and methodologies into actionable insights and recommendations and automate their implementation.
• Communicate effectively with both technical and non-technical audiences through clear verbal and visual communication.
• Identify trends and opportunities to drive innovation in technology and processes.
• Evaluate emerging tools and technologies in software engineering, data science, machine learning, and AI.
• Manage, coach, and mentor a team of software engineers and data scientists while acting as a technical expert.
• Contribute to and adopt community best practices.
• Promote software engineering, data science, machine learning, AI, and emerging technologies through community engagement, networking, presentations, and publications when applicable.
• Build trust and collaboration by engaging directly with colleagues and stakeholders.
• Perform additional duties as assigned.

**Qualifications**

**Basic Qualifications**
• Minimum of seven years of post-secondary education or equivalent relevant work experience.

**Additional Qualifications and Skills**

**Required Skills**
• Bachelor’s or advanced degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or equivalent experience (7+ years).
• 3–5 years of experience developing software products in a commercial environment.
• 2+ years of experience building generative AI-based products.
• Strong programming skills in Python and TypeScript/JavaScript.
• Expertise in multivariate statistical modeling, including clustering, regression, principal component analysis, factor analysis, time-series forecasting, and Bayesian methods.
• Strong knowledge of modern machine learning techniques such as ensemble methods, regularization, gradient boosting, representation learning, deep neural networks, transformer architectures, and self-supervised learning.
• Understanding of MLOps fundamentals.
• Experience with cloud computing platforms (AWS, GCP, or similar) or equivalent on-premise environments.
• Experience working within Agile development methodologies.
• Proven experience leading data science and machine learning software development projects focused on solving business problems.

**Desired Skills**
• Proficiency with SQL.
• Experience mentoring engineers and providing technical guidance, including conducting code reviews.
• Ability to coordinate and track multiple deliverables, tasks, and dependencies across different stakeholders and business areas.
• Experience with deep learning architectures such as CNNs, RNNs, and transformers, including generative and self-supervised models.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Experience using data visualization tools.

AI AI

8491 - AI AI

### Required Skills & Experience
- Strong proficiency in **Java** and **Spring Boot**.
- Experience with **ORMs** and relational data access patterns.
- Working knowledge of **Node.js** and comfort operating in mixed‑technology environments.
- Familiarity with **GraphQL** concepts; experience with Apollo is a plus.
- Ability to understand and work within **monolithic** and **service‑based** architectures.
- Comfort using **AI development tools** for code generation and analysis. (claude code, codex, copilot, gemini, etc)
- familiar with Cloud Native applications

### Core Responsibilities
- Develop and maintain backend services using **Java**, **Spring**, and ORM frameworks.
- Work across a **layered architecture**, determining when to call legacy endpoints directly versus introducing new Java service layers.
- Support the ongoing **migration from Node to Java**, contributing to new Java‑based APIs and refactoring existing services.
- Participate in the transition to **Apollo GraphQL**, including building resolvers and queries as the platform evolves.
- Design **cross‑platform APIs** that serve both web and native mobile clients.
- Collaborate with front‑end engineers while receiving technical guidance from teams with deep knowledge of legacy systems.
- Use AI‑assisted development tools (e.g., Codex) to accelerate onboarding, code understanding, and implementation.
- Communicate proactively, ask questions early, and work effectively within a distributed support structure.



8489 - Java Java

This position is for a temporary replacement for Magaly while she is on Mat leave 




**QA Engineer** **Who We Want**Do you have a passion for creating quality software for top websites in the industry? Are you excited to dive into new technologies and take on new challenges? Are you the type that can juggle several projects at once, using your skill and experience to make all of them successful? If yes, then we want you. We need talented engineers to join our team in moving our technology and products to the next level. Help us provide our users with innovative products and services of the highest quality. In addition to the new development projects that we have, we are investing resources into setting up a more flexible infrastructure to test and support those projects. An ideal candidate will be excited to be in a smaller company that moves quickly on a constant flow of ideas, be able to wear multiple hats as needed, and have the drive to exceed expectations.
**Essential Duties & Responsibilities**· Meet with Software/Product designers to determine quality assurance parameters · Review requirements, specifications and technical design documents to provide timely and meaning feedback · Create detailed, comprehensive and well-structured test plans and test cases · Estimate, prioritize, plan and coordinate testing activities · Design, develop and execute automation scripts using open source tools, and work with developers on unit testing · Identify, record, document thoroughly and track issues · Ensure thorough regression testing when issues are resolved · Ensure quality of production releases through manual and automated testing solutions on multiple browsers, OS, and devices · Test functionality, layout, responsiveness, and data accuracy across our websites, APIs, search systems, and datasets · Data quality testing of our search engines and databases · Gain a deep understanding of our websites, products, and business rules · Take initiative to learn about the technology and systems · Be innovative, objectively providing alternatives and solutions to problems and projects · Possess strong communication and collaboration skills
**Qualifications & Skills**· BS in Computer Science, Engineering, related subject or equivalent work experience · Several years of software quality assurance experience · Several years of experience working in large scale database testing OR high-traffic, e-commerce websites · Hands on experience testing responsive websites on mobile and tablet devices · Experience with testing automation tools and plugins, such as Selenium, NUnit, or Apiary · Experience with SQL queries · Programming experience in ASP.NET, C#, MVC, or JQuery is a huge plus · Working knowledge in web technologies, such as Javascript, HTML, CSS, & HTTP/HTTPS · Possess an extremely high attention to detail and quality

Additional information:

Anybody with Realstate US based experience  would be great
Manual QA, exploratory testing, very proactive and with Playright experience

Idealy East cost Timezone


8488 - QA

**About This Job**
Essential Duties and Responsibilities • Researches, documents, and implements program requirements and specifications • Writes, translates, and codes software programs and applications according to the specification as needed • Runs and monitors performance tests on new and existing software for the purposes of correcting mistakes, isolating areas of improvement, and general debugging • Cultivates and disseminates knowledge of development best practices • Code reviews. • Maintains guidelines and coding standard documentation • Interacts regularly with managers and team members to field technical queries and questions
Skills: • 4-5 years of experience in C# .NET Development • 3+ years of experience in SQL • 2+ years of experience in Angular2+ • Solid experience using C# / .Net standards and design patterns and dependency injection • Solid experience using .Net Core • Solid experience using Linq and EF Code First • Solid experience writing Unit and Integration tests (preferably using xUnit) • Solid experience designing and implementing REST APIs • Solid experience using Git, branching and resolving merge conflicts • Experience creating design documentation, roadmaps, flow diagrams and coding standards • Must be a team player with the ability to work with all parts of the organization • Strong communication skills • Problem-solving skills and the ability to get the job done

C# C#

8483 - C# C#

Senior React Native Developer

Overview

We are looking for a Senior React Native Developer to join our mobile engineering team. This role will focus on building, maintaining, and scaling high-quality cross-platform mobile applications with a strong emphasis on performance, accessibility, and clean architecture.

You will collaborate closely with product managers, designers, and backend engineers to deliver reliable, user-friendly mobile experiences for both iOS and Android platforms.

Key Responsibilities

• Design, develop, and maintain mobile applications using React Native.
• Implement responsive UI components using HTML and CSS principles.
• Manage global application state using Zustand (and related patterns).
• Integrate and consume RESTful APIs efficiently and securely.
• Ensure accessibility-oriented development best practices across the app.
• Write unit and integration tests using Jest.
• Monitor application performance and errors using Sentry.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Debug and resolve production issues in a timely manner.
• Participate in code reviews and maintain high coding standards.
• Manage native iOS and Android modules when required.
• Implement Offline capabilities for new features

Required Technical Skills

• Strong experience with React Native.
• Solid understanding of JavaScript / TypeScript.
• Proficiency in HTML and CSS.
• Experience with global state management using Zustand or similar framework.
• Experience consuming RESTful APIs.
• Strong knowledge of Git and GitHub workflows.
• Testing experience with Jest.
• Comfortable with Xcode and Android Studio.
• Profiling
• Building Native Modules
• Finding memory consumption and leaks
• Experience integrating Sentry (or similar tools) for performance and error tracking.
• Understanding of mobile app lifecycle and performance optimization.


Nice to Have (Currently Used in the Project)

• Experience managing CI/CD pipelines with Bitrise.
• Experience with cross-browser and cross-device testing tools such as Lambdatest.
• Experience building and maintaining native modules using:
• Swift (iOS)
• Kotlin (Android)
• Experience managing App Store and Google Play Console services, including:
• In-app purchases
• Internal testing tracks
• App releases and updates

Qualifications

• 4+ years of experience in mobile development.
• 2+ years of hands-on React Native experience in production environments.
• Experience working in Agile/Scrum environments.
• Strong problem-solving and debugging skills.
• Excellent communication skills and ability to work in distributed teams.


Soft Skills

• Ownership mindset and accountability
• Ability to work independently with minimal supervision.
• Proactive communication and collaboration.

 

React Native Niche

8466 - React Native Niche

Key Responsibilities
· Requirements Gathering & Analysis
o Collaborate with stakeholders to identify business needs and translate them into functional requirements.
o Document workflows, processes, and system interactions.
o Conduct gap analysis between the current and desired states.
· Solution Design & Documentation
o Create detailed business requirement documents (BRDs), user stories, and acceptance criteria.
o Support solution design by working closely with technical teams.
o Ensure requirements are testable, traceable, and aligned with business objectives.
· Stakeholder Management
o Facilitate workshops, interviews, and meetings to gather input.
o Communicate findings and recommendations clearly to both technical and non-technical audiences.
o Manage expectations and maintain strong relationships with stakeholders.
· Testing & Validation
o Assist in developing test plans and test cases.
o Support user acceptance testing (UAT) and validate solutions against requirements.
o Identify and document defects, ensuring resolution before deployment.
· Continuous Improvement
o Analyze data to identify trends and opportunities for process optimization.
o Recommend improvements to systems, workflows, and reporting.
o Stay updated on industry best practices and emerging technologies.
---
Qualifications
· Bachelor’s degree in Business Administration, Information Systems, or related field.
· 3–5 years of experience as a Business Analyst or in a related role.
· Strong knowledge of requirements gathering techniques and documentation standards.
· Experience with Agile/Scrum methodologies.
· Proficiency in tools Azure DevOps, MS Excel, and Visio (or similar).
· Excellent communication, problem-solving, and critical-thinking skills.
---
Preferred Skills
· Experience in data analysis and visualization (Power BI, Tableau).
· Knowledge of SQL for querying databases.
· Familiarity with ERP, CRM, or other enterprise systems.
· Certification (CBAP, CCBA, or PMI-PBA) is a plus.
---
Competencies
· Analytical mindset with attention to detail.
· Ability to work independently and in cross-functional teams.
· Strong organizational and time management skills.
· Adaptability to changing priorities and environments.

Business Analyst Product Administration

8465 - Business Analyst Product Administration

# **Impact the Moment**
Do you enjoy testing the limits of possibility? Our Sr. Software Engineers drive progress and help build the future of learning. If you have the passion and technical expertise to thrive in an innovative and agile environment, we want to learn more about you.
We are building a course management and adaptive learning solution that enables millions of learners to achieve their full potential. In this role, you will expand this platform to deliver new learning tools for instructors and learners.
## **How can you make an impact?**
In this role, you will be the linchpin of the product—the technical expert for the product, sales, marketing, and business teams, and the product expert for the technical teams. By combining deep customer understanding, strong analytical skills, and technical acumen, you will drive a holistic product vision that energizes your teammates and delights your customers.
As an education innovation company, we’re proud to inspire learners around the world. Bring your curiosity, and we’ll help you grow in a collaborative environment where everyone shares a passion for success. Even if you’re not actively seeking a change, we encourage you to apply and speak with the hiring manager to learn more about this opportunity.
**This is a remote position open to applicants authorized to work for any employer within the United States.**
## **What can you expect from the position?**
- Build web‑based, responsive learning tools used by millions of learners and educators
- Collaborate with engineers, product managers, designers, sales, and marketing teams to build products customers love
- Own end‑to‑end delivery (technical design, development, testing) and product maintenance
- Manage the full software development lifecycle using infrastructure and monitoring as code
- Work with a high‑performing engineering team that values extreme ownership

## **What can you bring to the role?**
- 5+ years of experience in Angular
RESTful services
CI/CD pipelines
Databases
AWS services
Docker / containerization
Distributed caching
Tomcat
Observability tools
- Product engineering experience supporting B2B and B2C products
- Experience building responsive, accessible, high‑performance web applications
- Experience with observability platforms for product health monitoring
- Ability to work across the software stack (front‑end and back‑end); strong backend with some frontend experience
- Bachelor’s degree in Computer Science
- Terraform experience (preferred)

## **Must‑Haves for This Role**
- Strong experience with **Angular** and **Java**
- Experience building responsive, accessible, high‑performance web products
- Terraform experience is beneficial
- Bachelor’s degree preferred
- 2–5 years of experience in software development
- Experience in **EdTech** or **e‑commerce** is preferred

## **Nice to have** 
- Java Spring
- Full-stack experience

## 

8459 - Angular 2+ JavaScript

**Summary**
We are seeking a Palantir Foundry Engineer with a strong emphasis on Application Development and platform enablement. This role will focus on building and refining data platform capabilities within an existing Palantir Foundry implementation. This is a hands on engineering role working directly with client stakeholders, data scientists, and UI developers to build, extend, and maintain data pipelines, ontology driven applications, and operational workflows using Foundry, Workshop, Contour, Ontology Actions, AIP Logic, and related components.
The ideal candidate holds the Palantir Foundry Application Developer certification. If certification is not present, candidates must have 2 plus years of hands on Foundry experience building and supporting production implementations.
**Key Responsibilities**
• Design, build, and maintain data pipelines within Palantir Foundry
• Develop and extend ontology models to support evolving business workflows
• Build and refine applications using Workshop and Contour
• Implement Ontology Actions and AIP Logic to enable operational decision workflows
• Collaborate closely with client stakeholders to translate business processes into scalable Foundry solutions
• Partner with data scientists to productionize analytics and AI logic within Foundry
• Work with UI developers to ensure seamless integration between front end components and Foundry data models
• Perform platform enablement tasks including access controls, governance configuration, and performance optimization
• Support ongoing operations and maintenance of existing Foundry assets
• Troubleshoot data pipeline, ontology, and application issues in production environments
• Continuously improve data model design, lineage clarity, and overall platform reliability
**Required Skills**
• _**Palantir Foundry Application Developer certification preferred**_
• If no certification, minimum 2 plus years of hands on Palantir Foundry experience in production environments
• Strong experience with Foundry data pipelines and transformation logic
• Experience designing and maintaining Ontology objects, relationships, and actions
• Hands on experience with Workshop and Contour
• Experience implementing AIP Logic or similar rule based or AI driven workflow logic
• Strong SQL and Python skills
• Experience working within governed enterprise data environments
• Ability to collaborate directly with clients and cross functional teams
• Experience supporting and maintaining production data platforms
**Preferred Skills**
• Experience in platform enablement roles within enterprise data ecosystems
• Familiarity with distributed data processing concepts
• Experience integrating analytics and machine learning outputs into operational systems
• Background in data governance, lineage, and access control design
• Exposure to domain driven design principles
• Experience working in consulting or client facing environments
• Familiarity with CI CD practices within data platforms
**General Requirements**
• Comfortable working in a client facing, collaborative environment
• Strong communication skills with both technical and non technical stakeholders
• Self directed and comfortable working in evolving enterprise environments

Data Engineer Data

8455 - Data Engineer Data

**Our Stack**

**Strong EKS skills are a MUST for this role.**
- **Code:** Java, PHP, Node, GoLang
- **RDBMS:** Oracle, PostgreSQL, MySQL
- **Cache:** Couchbase, Redis, ElastiCache, DynamoDB
- **Containers:** ECS, EKS, Kubernetes (K8S), Docker
- **Cloud:** Amazon AWS
- **Telemetry:** New Relic, CloudWatch
- **Build:** Jenkins, CircleCI, GitHub Actions
- **Run:** PagerDuty, Exigence
- **Infrastructure as Code:** Terraform, CloudFormation

**Your Contributions**

**Cloud Engineering**
- Hands-on design, analysis, development, and troubleshooting of highly distributed, large-scale production systems and event-driven cloud services.
- Ensure repeatability, traceability, and transparency of infrastructure automation (infrastructure-as-code, monitoring-as-code).
- Participate in continual learning of the AWS ecosystem, game day scenarios, and professional conferences.
- Collaborate with development teams on enterprise application solutions using our software stack.
- Actively monitor AWS cost and use optimization tools to maximize ROI while maintaining SLOs.

**Observability Engineering**
- Own reliability, uptime, system security, cost, operations, capacity, resiliency, and performance analysis.
- Define, monitor, and report on service level indicators for application workloads.
- Support on-call rotations for operational duties not yet automated, with a focus on eliminating recurring alarms.
- Maintain telemetry that improves visibility into application performance and business metrics.
- Develop, communicate, and monitor standard processes that support long-term operational health.

**DevSecOps**
- Support healthy software development practices aligned with agile methodology, including code review standards, work packaging, and continuous delivery.
- Partner with CyberSecurity to develop plans and automation for addressing new risks and vulnerabilities.

**Systems Engineering**
- Collaborate with Systems Admins to coordinate middleware, network, storage, database, Windows, Linux, and VMware maintenance.
- Automate legacy on-prem system maintenance and migrate to cloud with thoughtful redesign.

**Resiliency Engineering**
- Collaborate with development teams to identify failure points and system blast radius.
- Validate monitoring and observability effectiveness.
- Coordinate failure injection testing.
- Observe and document steady-state production levels and growth patterns.
- Plan and forecast for seasonal growth, communicate trends, and update scaling plans to accommodate 2x expected load.
- Coordinate improvements to existing software and infrastructure to meet resiliency goals.

**Must Have for this role:**
- Advanced English
- 5 years experience
- Containers: ECS, EKS, K8S, Docker
- Communicate effectively with team members & peers
- Need to be able to ask questions
- People person
- Willingness to learn new technologies and grow within the team.
- Outgoing
- Strong attention to detail
- Good interpersonal skills

**Plus:**
- Developer Experience (Java, PHP, Node, and GoLang)

DevOps Cloud, Infrastructure and ITOps

8453 - DevOps Cloud, Infrastructure and ITOps

**iOS Engineer**

Experience:
- 5 years of related work experience in iOS development

Technical Proficiencies:
- Proficiency in Swift
- Proficiency with UIKit and SwiftUI, including hybrid implementations
- Experience consuming RESTful APIs with URLSession and Codable for JSON serialization
- Experience with Swift Package Manager for dependency management
- Experience implementing CI/CD pipelines using Fastlane and GitLab CI
- Experience with unit testing (Swift Testing & XCTest) and UI test automation (Maestro)
- Experience with Core Data for local persistence and offline support
- Experience with payment processors including Stripe and PayPal
- Familiarity with Firebase, NewRelic, and third-party SDK integrations (Braze, Amplitude)

Mobile Niche

8446 - Mobile Niche

**Position Title**
Senior Software Developer

**Core Values**
Core ideals that form the foundation on which we perform work and conduct ourselves “Who we are is as important as what we do.”
• Demonstrate ability to work collaboratively with all departments and promote teamwork, interdepartmental functioning and harmony.
• Reliable in doing work and meeting deadlines
• Lends a helping hand to those that need it
• Communicates with others before taking actions that might affect them
• Seek to understand diverse views and cultures
• Understands position as a role model and example for other members of staff
• Represents the Company in a favorable manner at all times
• Resolves interpersonal conflicts with co-workers
• Demonstrates behavior and conduct at all times that is professional and appropriate, including dealing with stressful or frustrating situations.
• Shares expertise, knowledge, and information to help others
• Acts as a resource to facilitate personal and professional development of others
• Collaborates and shares information to benefit individuals and the company
• Commit to fostering a culture of learning and development.

**Core Description**
The Senior Software Developer is responsible for working with the Product Manager to determine the overall direction and feature set of our Enterprise applications.

**Areas of Focus**
Accountable to the Director, Software Development and internal stakeholders and is responsible for contributing to the creation and upkeep of software solutions.

**Operational**
• Create, develop, manage, and maintain applications.
• Set specifications for new applications in conjunction with the Product Manager, Data Services Team and Infrastructure Team.
• Write high quality source code to program complete applications.
• Develop functional and non-functional testing as part of the development lifecycle for the Enterprise applications.

**Competencies**
• Communication
• Detail Orientation
• Planning and Organizing

**Experience and Skills**
• BS degree in computer science or other related technical disciplines
• 5+ years’ experience developing databases
• Knowledge of programming best practice and procedures
• Experience with .NET framework
• Experience with .NET web sites such as Webforms, MVC, Blazor
• Ability to program in multiple languages such as VB,VBA, C#, JavaScript
• Proficient Knowledge of in SQL and relational database systems (SSMS, T-SQL, SSRS, SSIS)

8444 - C# C#

### **Position Title**: Sr. Backend Engineer (HIE)
### **Reports To**: Director of Software Engineering
### **The Position:**
### The Senior Data Engineer (HIE) is a technical lead for healthcare interoperability services. You will architect and deliver Python‑based REST APIs, FHIR and C‑CDA integrations, and compliant HTML→PDF pipelines, deploying horizontally scalable workloads on Azure Container Apps and Azure Function Apps. You’ll set standards, own complex cross‑system designs, and drive reliability, performance, and auditability in a HIPAA/HITRUST environment.
### **Duties & Responsibilities:**
**Interoperability & Standards**
· Implement FHIR integrations (e.g., Patient, DocumentReference, $match) with OAuth2/SMART on FHIR, robust error handling, and clear field mappings.
· Parse/transform C‑CDA documents into normalized data structures; validate content and provenance.
· Support HL7 v2/MDM/ADT flows where needed (message parsing, ack/error handling).

**API Engineering (Python)**
· Build internal/external REST APIs with FastAPI/Flask (authN/authZ, input validation, pagination, rate limiting).
· Define and maintain OpenAPI specs and versioning; write contract tests to prevent breaking changes.

**Document Generation & Templates (HTML → PDF)**
· Lead the templating framework (partials, localization, testing) and server-side rendering pipeline for HTML→PDF documents; ensure accessibility and compliance requirements.

**Data Modeling, Quality & Lineage**
· Define canonical data models for FHIR/C‑CDA ingestion; implement data quality checks, lineage metadata, and audit trails across Blob/Data Lake/SQL/Postgres SQL DB.
· Partner with Analytics/BI to expose well-formed datasets and semantics.

**Observability, SLOs & Reliability**
· Own instrumentation strategy: structured logs, metrics, and traces in Application Insights/Log Analytics.
· Set and track SLOs (p95 latency, error rates, throughput); engineer for graceful degradation and idempotency.

**Technical Collaboration**
· Perform design/code reviews; unblock delivery on complex integrations.
· Collaborate with Product, Interoperability, Security/Compliance, and Ops to align roadmaps and de-risk releases.
### Experience & Qualifications:
### **Required**
· 7+ years in data engineering, platform/API development, or similar roles.
· **Strong Python skills** (FastAPI/Flask), including packaging, virtual environments, and testing frameworks.
· Hands on building REST APIs and integrating external APIs; OpenAPI/Swagger proficiency.
· Practical experience with FHIR (resources, search parameters, auth) and C-CDA parsing/transformation.
· Knowledge of EPIC, Cerner, Athena, and other EMRs
· Proven deployment of horizontally scalable services on Azure (Container Apps or Function Apps), with observability and auto-scale.
· Solid understanding of cloud data stores (Azure SQL, Blob/Data Lake, Postgres SQL DB) and event systems (Service Bus/Event Grid).
· Git based workflows and CI/CD; security first mindset; excellent communication and collaboration.
. **Experience working in Healthcare**
**. Experience with - FHIR, Epic, Cerner, Athena, eClinicalWorks, or other EMRs.**
### **Preferred**
· Experience with HL7 v2 (MLLP/MDM/ADT) message handling.
· Familiarity with HTML→PDF engines and template systems.
· IaC (Bicep/Terraform/ARM), Azure API Management, and private networking patterns.
· Healthcare background and working knowledge of HIPAA/HITRUST controls.
### The Person:
The successful candidate will be a motivated data engineer who:
· Systems thinker: Balances elegant designs with practical delivery in regulated contexts.
· Technical mentor: Elevates team practice through reviews, pairing, and standards.
· Reliability-obsessed: Treats observability and SLOs as first-class product features.
· Compliance-aware innovator: Builds modern solutions without compromising privacy or auditability.
· Clear communicator: Turns complex integrations into understandable plans and artifacts.

8440 - Python Python

JR4217

**About This Job**

Essential Duties and Responsibilities
• Researches, documents, and implements program requirements and specifications
• Writes, translates, and codes software programs and applications according to the specification as needed
• Runs and monitors performance tests on new and existing software for the purposes of correcting mistakes, isolating areas of improvement, and general debugging
• Cultivates and disseminates knowledge of development best practices
• Code reviews.
• Maintains guidelines and coding standard documentation
• Interacts regularly with managers and team members to field technical queries and questions

Skills:
• 4-5 years of experience in C# .NET Development
• 3+ years of experience in SQL
• 2+ years of experience in Angular2+
• Solid experience using C# / .Net standards and design patterns and dependency injection
• Solid experience using .Net Core
• Solid experience using Linq and EF Code First
• Solid experience writing Unit and Integration tests (preferably using xUnit)
• Solid experience designing and implementing REST APIs
• Solid experience using Git, branching and resolving merge conflicts
• Experience creating design documentation, roadmaps, flow diagrams and coding standards
• Must be a team player with the ability to work with all parts of the organization
• Strong communication skills
• Problem-solving skills and the ability to get the job done

8432 - C# C#

JR4219

**Job responsibilities include:**
· Mentor other developers with a constructive, results-oriented approach that helps them meet their potential.
· Provide technical oversight to a team of developers.
· Translate business requirements into intuitive software solutions.
· Provide accurate development effort estimations for your work as well as that of the team.
· Lead an Agile (Scrum) development team with a continuous improvement mindset.
· Collaborate with fellow IT and software developers while building knowledge base.
· Participate in technical design, development, implementation and support of various applications throughout the Trustee and Fiduciary Services division.
· Keep a critical eye on new design specifications and raise quality, performance or architectural concerns.
· Support other developers through problem solving by identifying as well as evolving standards, best practices and reusable solutions.
· Build and maintain a strong working knowledge of the business area(s) supported and the applications that support it.
· Troubleshoot application problems; determine root causes and resolve issues.

8431 - C# C#

JR 4117

**About This Job**
Tests software products to ensure quality, identifies defects, and documents test results. Learns to develop and execute automated test scripts, analyze test results, and report issues. Collaborates with cross-functional teams to ensure product quality.
- Verifies that product documentation is in sync with product functionality.
- Monitors and verifies that quality activities are in line with control procedures.
- Compiles, analyzes, and distributes performance reports and process control statistics.
- Maintains and disseminates defect documentation and logs.
- Executes test cases as per the test plan.
- Reports defects in the defect tracking tool.
- Participates in test case reviews.
- Assists in test data preparation.

8426 - QA

JR 4175

**About This Job**

Tests software products to ensure quality, identifies defects, and documents test results. Learns to develop and execute automated test scripts, analyze test results, and report issues. Collaborates with cross-functional teams to ensure product quality.
- Verifies that product documentation is in sync with product functionality.
- Monitors and verifies that quality activities are in line with control procedures.
- Compiles, analyzes, and distributes performance reports and process control statistics.
- Maintains and disseminates defect documentation and logs.
- Executes test cases as per the test plan.
- Reports defects in the defect tracking tool.
- Participates in test case reviews.
- Assists in test data preparation.

8422 - QA

**Overview**We are seeking a **Senior Software Engineer** to join our **Migration Enablement** team. This team is part of Internal Developer platform (IDP) subdivision and responsible for migrating applications from a decentralized environment to a centralized, standardized platform—streamlining technology management and enhancing developer productivity—while ensuring our products function seamlessly within an open ecosystem. **About the Team**The Migration Enablement team supports product application teams in moving their applications to new environments. This includes:
- Leveraging **AI automation** and **manual verification** to accelerate migration.
- Addressing application team questions about the new environment.
- Collaborating with platform stakeholders, including developers and their managers, to ensure smooth transitions.
- Building AI tooling, tuning prompts to improve automation, and providing timely technical support via messaging channels.

**Key Responsibilities**
- Design, develop, and maintain software in an **Agile** environment.
- Collaborate with team members to enhance productivity and deliver results efficiently.
- Deliver **high-quality, customer-focused code** that meets business needs.
- Build domain expertise and share knowledge with peers.
- Take ownership of deliverables and provide ongoing support to application teams during migration.
- Develop and enhance AI-based tools to automate migration processes.

**Qualifications**
- **7+ years** of software engineering experience.
- Proficiency in:
    - **AWS technologies**
    - **Kubernetes**
    - **EKS**
    - **Helm Chart experience**
    - **DevOps** tools and CI/CD pipelines (**Jenkins, Harness**)
    - **Java** and **Python**
- Experience working in **enterprise-level Agile** environments.
- Familiarity with AI concepts and a willingness to explore and learn.
- **Preferred skills**: Python, DynamoDB, Node.js, AI/ML experience.

8418 - DevOps Cloud, Infrastructure and ITOps

Overview
We are seeking a senior backend engineer to maintain and enhance the product. This is a mature Grails application with extensive integrations requiring a well-rounded engineer who can work independently, navigate legacy code, and deliver reliable solutions.
# Technologies
**Backend**:
· Grails 3.3.10 (Spring Boot-based) / Java 8 / Groovy
· Gradle 3.5
· Hibernate 5.1.5, Liquibase 3.5.3
· MySQL 5.7 (production), H2 (testing environment)

**Search & Analytics:**
· Elasticsearch 5.6.16, Kibana 5.6.16, Jest 2.4.0

**Cloud & Infrastructure:**
· AWS: S3, Cognito, Lambda, Elastic Beanstalk, RDS
· Microsoft OAuth2 authentication
· Docker, Docker Compose

**Document Processing:**
· Apache POI, docx4j, PDFBox, iText, Jasper Reports

**Integrations:**
· Box, Adobe Document Services, Sovren (resume parsing)
· Microsoft Graph, ZoomInfo, SendGrid, Constant Contact
· Auth0, Spring Security, JWT/OAuth 2.0

**Testing & CI/CD:**
· Spock Framework, Geb, Selenium
· CircleCI
# Responsibilities
· Develop and maintain backend services and APIs.
· Design and implement integrations with third-party services
· Optimize database queries and application performance
· Manage document processing workflows (resume parsing, report generation)
· Maintain and enhance search functionality using Elasticsearch
· Implement security best practices
· Troubleshoot production issues and implement fixes
· Document code and architectural decisions
# Required Qualifications
· 3-5 years backend development experience
· Strong proficiency with Java and Spring Framework ecosystem
· Experience with Grails or similar Groovy-based frameworks
· Solid understanding of relational database design and optimization
· Experience with REST API design and implementation
· Proficiency with OAuth 2.0/JWT authentication patterns
· Experience with AWS services (S3, RDS, Lambda)
· Comfortable working independently in a legacy codebase
· Strong problem-solving and debugging skills
# Preferred Qualifications
· Experience with Elasticsearch or similar search platforms
· Familiarity with document processing libraries (POI, PDFBox, etc.)
· Background in CRM or applicant tracking systems
· Knowledge of resume parsing or HR tech integrations
· Previous consulting or fractional engineering roles
· Experience migrating legacy applications to modern infrastructure
# What Success Looks Like
· Understand complex integration patterns and business logic quickly
· Deliver stable, performant backend features
· Maintain system reliability while implementing enhancements
· Navigate and improve legacy code pragmatically
· Communicate technical constraints and solutions clearly to stakeholders

8411 - Java Java

- Automated testing
    - SSO (single sign on)
    - Someone to set up the atuomated testing suite
    - Web & native mobile
    - Test suites that have components of both

## **Typical Years of Experience**
- 4+ years in an SDET role or a related Engineering field.

## **Technical Expectations**
**SDET minimum expectations plus the following:**
- Experience using at least one programming language.
- Experience performing maintenance for existing automation frameworks; regression, integration and/or performance suites.
- Hands on experience using object-oriented concepts - Has exposure to SOLID principles.
- Hands on experience using Automation Execution frameworks (e.g. MsTest, TestNG).
- Hands on experience using Automation framework design patterns like POM.
- Awareness of mobile automation testing.
- Experience using code source control tools like Git - experience with more complex branching strategies and resolving merge conflicts.
- Proficient with package/dependency managers.
- Familiarity with containerization technologies (e.g. VMWare, Docker, Vagrant).
- Solid understanding about DOM objects and different identification techniques.
- Solid understanding about DB Management tools and SQL concepts.
- Experience performing API Testing and knowledge of any API Automation tools.
- Hands on experience using any Performance Test Tool (e.g. SoapUI, LoadRunner, VS Studio Performance module).
- Experience in reporting and participating in bug triages.
- Familiar with the practice of and participates in code reviews.

8410 - SDET QA Automation

SDET / Automation Engineer 
**Job Description**
We are looking for an Intermediate SDET to support automated testing efforts for an online banking application. The role focuses on developing and maintaining automated tests using Playwright with JavaScript/TypeScript, ensuring consistent and reliable test coverage across web and API layers. The candidate will work closely with senior SDETs, manual QA, and development teams to contribute to automation framework enhancements and CI/CD integration.
**Key Responsibilities**
- Develop and maintain automated **web tests** using **Playwright** with **JavaScript/TypeScript**.
- Create and execute automated **end-to-end and regression tests** for web applications.
- Implement and maintain **REST API automated tests** to validate backend services and data integrity.
- Automate test cases provided by the manual QA team under established guidelines.
- Contribute to test maintenance activities, including fixing flaky tests and updating test data.
- Execute automated test suites in **CI/CD pipelines** (Azure Pipelines or similar).
- Identify, report, and follow up on defects, collaborating with developers for resolution.
- Participate in code reviews and apply automation best practices.
- Support incremental improvements to the automation framework and test coverage.

**Required Qualifications**
- Professional experience with **JavaScript and/or TypeScript**.
- Hands-on experience with **Playwright** or a similar modern web automation framework.
- Experience with **REST API testing** (Postman, HTTP Yac or similar).
- Basic understanding of automation design patterns and testing best practices.
- Familiarity with defect tracking and test management tools.
- Good problem-solving skills and ability to work collaboratively in a team environment.

**Nice to Have**
- Experience working with **CI/CD pipelines**.
- Experience with **REST API automation testing**.
- Experience testing **banking or financial applications**.
- Exposure to Azure DevOps, Git-based workflows, and pull request reviews.
- Basic knowledge of performance or security testing concepts.
- Experience with test reporting tools or BDD frameworks.

8401 - SDET QA Automation

### **Technical Requirements**
- **DBT** – Strong experience building and maintaining data transformation models.
- **Airflow / Astronomer** – Hands‑on experience orchestrating complex data workflows.
- **AWS** – Solid general AWS knowledge for data pipelines and infrastructure.
- **Snowflake** – Preferred but not required; familiarity with Snowflake data warehousing concepts is beneficial.
- **Data Modeling** – Ability to work with raw (ARC/Athena) data and gold‑tier ADW data.
- **Tokenization / De‑identification** – Understanding of securing PHI/PII workflows (e.g., DataVant tokenization).
- **ETL / ELT Pipelines** – Experience building end‑to‑end pipelines for external customer delivery.
- **SQL** – Strong SQL for handling large datasets, transformations, and quality checks.

### **Primary Responsibilities**
- Build data pipelines that ingest raw Oracle source data into Snowflake.
- Transform data using DBT and orchestrate end‑to‑end workflows in Airflow.
- Implement tokenization processes using DataVant for external partner delivery.
- Work closely with ADW/Alana’s team to consume gold‑tier models.
- Deliver partner‑ready datasets and manage ongoing pipeline operations.

### **Soft Skills / Behavioral Requirements**
- **Highly proactive, self‑driven, takes initiative** — this is a **Greenfield** project with undefined processes.
- Ability to take broad business problems and independently create action plans/tickets.
- Comfortable working across stakeholder groups, including:Legal
Customer Success
Internal Data Teams

- Strong communication; vocal when blocked; comfortable driving meetings.
- Able to navigate ambiguity, push for access, and collaborate cross‑functionally.

8395 - Data Engineer Data

**TOP REQUIREMENTS:**
- Kubernetes (EKS)
- Terraform
- Intermediate to Advanced AWS
- Github Actions
- NewRelic/Datadog
- Containers (docker)
- Ideally some form of developer background - with an eye for automating recurring tasks
- excellent communicator
- Above all else, someone who takes ownership, is a self-starter, and is someone that loves learning new skills and has a growth mindset.

**What can you expect from this position?**
- Participate in initiatives involving system design and provisioning, reliability, observability and monitoring, self-service tool development, cost optimization, incident response, chaos engineering and build and release
- Hands-on design, analysis, development and troubleshooting of large-scale distributed systems
- Build tools and automation to eliminate repetitive tasks, minimize downtime, achieve human free operations, and provide self-service solutions to product development teams
- Work to improve the observability and monitoring of our systems. Proactively monitor capacity, performance, and cost metrics to ensure quality and identify opportunities for improvement
- Share an on-call rotation with your team where you will respond to incidents, lead triage efforts, and conduct blameless postmortems
- Partner with engineering, security, and product teams to keep our services reliable, available, fast, and cost efficient
- Be a champion of the customer’s voice and ensure our solutions are built with customer empathy at the forefront
- Promote SRE best practices within your team to ensure quality, stability, performance, resiliency, and maintainability of your solutions
- Explore new technologies and solutions to push our capabilities forward

**What can you bring to the role?**
- 4+ years combined experience as a Software Engineer, Site Reliability Engineer or DevOps Engineer
- Proven technical abilities in the areas of reliability, monitoring, self-service tool development, incident response, and build and release
- Experience in one of these languages: Python, Go or Java. Prior software development experience preferred
- Strong experience with Linux environments
- Demonstrated expertise designing, building, and triaging highly scaled production infrastructure in AWS
- Experience with infrastructure automation technologies like Terraform
- Experience in container/container-fleet-orchestration technologies like AWS ECS or EKS
- Approach your job with an automation and software engineering mindset
- Passion for uptime, observability, and full stack monitoring
- Experience participating in a team’s 24x7 incident response efforts
- Experience building ci/cd pipelines that are fast, informative, drive quality and achieve zero downtime releases
- Ability to work across functional and domain boundaries to improve system reliability and deliver solutions on time and with quality

**++Common Technologies In Our Ecosystem Include++**
- Java, Go, Node, PHP
- DataBricks experience would be ideal
- Linux-based, some Windows
- Apache Web, Nginx, IIS, Apache Tomcat, Jetty
- Docker, AWS ECS, AWS EKS, and home-grown Kubernetes
- ELB, CloudFront, S3, EC2s, RDS, IAM, SQS, SES, SNS, Lambda, API Gateway, Kinesis, Lambda, ElasticCache, ElasticSearch, SSM, Control Tower, and much more
- MySQL, Oracle, PostgreSQL, SQL Server
- Artifactory, GitHub Enterprise, CircleCI, Jenkins, GitHub Actions, SonarQube, Jfrog X-Ray, Control Tower
- Terraform (preferred), CloudFormation
- Packer, Puppet, Ansible
- New Relic, CloudWatch, PagerDuty

As an education innovation company, we're proud to play our part by inspiring learners around the world. If you bring your curiosity, we'll help you grow in a collaborative environment where everyone shares a passion for success.

8385 - DevOps Cloud, Infrastructure and ITOps

## Your impact on team
We are seeking a Sr. Software Engineer - AI to join our AI Platform team. The ideal candidate will possess expertise in building AI powered full stack applications. Since this position entails development of Generative AI enabled apps, practical experience in generative AI and demonstrating a profound understanding of its principles, applications, and latest advancements is highly desirable. This role requires a dynamic individual who can build and seamlessly integrate AI solutions across the full stack, contributing to our AI initiatives and ensuring robust, scalable implementations.
### What You’ll Do:
• Develop, implement, and maintain AI platform & AI powered tools / applications, including generative AI solutions that are reliable, maintainable, and scalable.
• Develop and maintain software solutions that comply with accessibility standards such as WCAG 2.2 AA. Integrate accessibility best practices into code, testing, and design processes.
• Work closely with data scientists, product managers, and other engineers to deliver high-quality solutions.
• Stay up to date with the latest advancements in AI technologies, exploring opportunities to integrate new AI capabilities into existing or new applications.
• Implement best practices for application security and ensure compliance with relevant data privacy and protection regulations.
• Contribute to CI/CD processes to allow for smoother releases
• Support cloud infrastructure optimizing for performance, cost, and security.
• Apply engineering best practices within your team to ensure quality, stability, performance, resiliency, and maintainability of your software.
### About You:
• 4+ years of experience in product or enterprise software development.
• **Python** Expertise. 
• Hands-on experience on full software development: Frontend (Angular), Backend / API (Python), Databases (such as MySQL and PostgreSQL, NoSQL databases such as DynamoDB) and Infrastructure (AWS/Azure, Terraform).
• Experience implementing accessible features in web applications.
• Experience assisting in the development of scalable AI powered solutions at an enterprise level such as Azure AI Search, Azure OpenAI service, Amazon Bedrock or similar technologies.
• Recent focus on generative AI, with hands-on experience in applying LLM frameworks such as LangChain
• Working knowledge of Retrieval-Augmented Generation (RAG) techniques, including implementing and optimizing RAG models to enhance information retrieval and generation capabilities
• Solid technical abilities in software development, testing, monitoring, performance tuning and deployment pipelines
• Strong technical communication and collaboration skills
• Passion for technology and commitment to staying current on AI advancements

8381 - Python Python

## Your impact on team
We are seeking a Sr. Software Engineer - AI to join our AI Platform team. The ideal candidate will possess expertise in building AI powered full stack applications. Since this position entails development of Generative AI enabled apps, practical experience in generative AI and demonstrating a profound understanding of its principles, applications, and latest advancements is highly desirable. This role requires a dynamic individual who can build and seamlessly integrate AI solutions across the full stack, contributing to our AI initiatives and ensuring robust, scalable implementations.
### What You’ll Do:
• Develop, implement, and maintain AI platform & AI powered tools / applications, including generative AI solutions that are reliable, maintainable, and scalable.
• Develop and maintain software solutions that comply with accessibility standards such as WCAG 2.2 AA. Integrate accessibility best practices into code, testing, and design processes.
• Work closely with data scientists, product managers, and other engineers to deliver high-quality solutions.
• Stay up to date with the latest advancements in AI technologies, exploring opportunities to integrate new AI capabilities into existing or new applications.
• Implement best practices for application security and ensure compliance with relevant data privacy and protection regulations.
• Contribute to CI/CD processes to allow for smoother releases
• Support cloud infrastructure optimizing for performance, cost, and security.
• Apply engineering best practices within your team to ensure quality, stability, performance, resiliency, and maintainability of your software.
### Required Skills:
• 4+ years of experience in product or enterprise software development.
• **Python** Expertise.
• Hands-on experience on full software development: Frontend (Angular), Backend / API (Python), Databases (such as MySQL and PostgreSQL, NoSQL databases such as DynamoDB) and Infrastructure (AWS/Azure, Terraform).
• Experience implementing accessible features in web applications.
• Experience assisting in the development of scalable AI powered solutions at an enterprise level such as Azure AI Search, Azure OpenAI service, Amazon Bedrock or similar technologies.
• Recent focus on generative AI, with hands-on experience in applying LLM frameworks such as LangChain
• Working knowledge of Retrieval-Augmented Generation (RAG) techniques, including implementing and optimizing RAG models to enhance information retrieval and generation capabilities
• Solid technical abilities in software development, testing, monitoring, performance tuning and deployment pipelines
• Strong technical communication and collaboration skills
• Passion for technology and commitment to staying current on AI advancements

8380 - Python Python

## 
We are seeking a Sr. Software Engineer - AI to join our AI Platform team. The ideal candidate will possess expertise in building AI powered full stack applications. Since this position entails development of Generative AI enabled apps, practical experience in generative AI and demonstrating a profound understanding of its principles, applications, and latest advancements is highly desirable. This role requires a dynamic individual who can build and seamlessly integrate AI solutions across the full stack, contributing to our AI initiatives and ensuring robust, scalable implementations.
### What You’ll Do:
• Develop, implement, and maintain AI platform & AI powered tools / applications, including generative AI solutions that are reliable, maintainable, and scalable.
• Develop and maintain software solutions that comply with accessibility standards such as WCAG 2.2 AA. Integrate accessibility best practices into code, testing, and design processes.
• Work closely with data scientists, product managers, and other engineers to deliver high-quality solutions.
• Stay up to date with the latest advancements in AI technologies, exploring opportunities to integrate new AI capabilities into existing or new applications.
• Implement best practices for application security and ensure compliance with relevant data privacy and protection regulations.
• Contribute to CI/CD processes to allow for smoother releases
• Support cloud infrastructure optimizing for performance, cost, and security.
• Apply engineering best practices within your team to ensure quality, stability, performance, resiliency, and maintainability of your software.
### About You:
• 4+ years of experience in product or enterprise software development.
• **Angular** (latest version) expertise.
• Hands-on experience on full software development Frontend (Angular), Backend / API (**Python or Node.js**), Databases (such as MySQL and PostgreSQL, NoSQL databases such as DynamoDB) and Infrastructure (AWS/Azure, Terraform).
• Experience implementing accessible features in web applications.
• Experience assisting in the development of scalable AI powered solutions at an enterprise level such as Azure AI Search, Azure OpenAI service, Amazon Bedrock or similar technologies.
• Recent focus on generative AI, with hands-on experience in applying LLM frameworks such as LangChain
• Working knowledge of Retrieval-Augmented Generation (**RAG**) techniques, including implementing and optimizing RAG models to enhance information retrieval and generation capabilities
• Solid technical abilities in software development, testing, monitoring, performance tuning and deployment pipelines
• Strong technical communication and collaboration skills
• Passion for technology and commitment to staying current on AI advancements

8379 - Angular 2+ JavaScript

###### Job Description
Client is revolutionizing the world of data management and analytics with our innovative cloud data platform, purpose-built for petabyte-scale datasets. Our mission is to help organizations drastically reduce data costs while increasing their data retention. We are looking for a  **Site Reliability Engineer (SRE)** to join our dynamic Services team. In this role, you will contribute to the reliability and scalability of our cutting-edge platform, ensuring exceptional solutions tailored to our customers’ unique needs. This is a highly technical, hands-on role that requires deep expertise in system reliability and automation.
###### Key Responsibilities
- **Infrastructure Reliability**: Deploy, maintain, and ensure a highly reliable fleet of Kubernetes clusters and deployments across multiple cloud platforms.
- **Service Optimization**: Design, implement, and maintain systems and processes to enhance the reliability, availability, and performance of our services.
- **CI/CD Management**: Build and optimize CI/CD tools and processes to ensure efficient and reliable deployments.
- **Monitoring and Incident Response**: Develop and manage monitoring, alerting, and incident response strategies to minimize downtime and enable rapid recovery.
- **Root Cause Analysis**: Conduct comprehensive root cause analyses for system failures, implementing long-term preventive measures.
- **Automation and Efficiency**: Automate repetitive tasks and optimize system performance to improve operational efficiency.
- **On-Call Support**: Participate in covering weekday business hours and once-monthly weekend shifts.

**Collaboration and Customer Engagement**
- **Cross-Functional Teamwork**: Work closely with software engineering, infrastructure, and product teams to integrate reliability practices into every stage of the development lifecycle.
- **Reliability Advocacy**: Champion SRE best practices and foster a culture of operational excellence across the organization.
- **Global Team Collaboration**: Collaborate with a distributed team of engineers worldwide to provide round-the-clock support.
- **Customer Support**: Interface with customers to address and resolve reported incidents, ensuring a seamless user experience.

###### Qualifications and Skills
- **SRE Expertise**: Proven experience as a Site Reliability Engineer or similar role, with a history of supporting complex distributed systems (minimum five years supporting complex distributed systems).
- **Observability Tools**: Experience with monitoring and debugging tools like Prometheus, Vector, Grafana, Superset, or Kibana.
- **Cloud Platforms**: Proficiency in at least one major cloud platform (AWS, GCP, Azure, or Linode).
- **Database Knowledge**: Experience with SQL databases; familiarity with PostgreSQL is a plus but not required.
- **Programming Skills**: Proficiency in programming languages such as Python, Go, or Rust.
- **Linux Expertise**: Strong experience with Linux systems, including performance tuning and system-level troubleshooting.
- **Communication Skills**: Excellent written and verbal communication skills, with the ability to convey technical concepts clearly to diverse audiences, including customers and cross-functional teams.

Site Reliability Engineer Cloud, Infrastructure and ITOps

8375 - Site Reliability Engineer Cloud, Infrastructure and ITOps


**Ideal Candidate Profile for the Analytics Engineer Role**
- Senior, Self-Directed Analytics Engineer
- A seasoned professional who is proactive, self-driven, and able to work with minimal hand-holding.
- Someone who does more than take tickets — they analyze the system, identify issues, propose solutions, and help guide priorities.


**Technical Strengths Required**
- Deep DBT Expertise
- Highly capable in dbt, including:
- Writing clean, maintainable models
- Moving custom SQL from Tableau into dbt models
- Understanding model performance considerations and grain selection


**Nice-to-have** 
- Experience with dbt MetricFlow / semantic layer implementations.


**Strong Data Modeling & Architecture Skills**
- Can navigate a highly complex, spaghetti‑like architecture and make sense of join paths, tangled fact/dim relationships, and inconsistent data sources.
- Skilled at structuring data marts and helping transition dashboards into robust, model‑driven marts.


**SQL Mastery**
- Expected to pass a SQL evaluation and comfortably handle complex transformations.


**Tech Stack Orientation**
Experience with:
- Snowflake
- Tableau (as a downstream consumer, not report building)
- Event data via Segment
- Fivetran + RDS ingestion sources
- Comfortable working inside an ecosystem that is currently in triage mode, not redesign mode.


**Problem-Solving Capabilities**
- Handling Messy, Disparate Data
- Able to reconcile inconsistent naming conventions, missing standards, and varying input quality across systems (e.g., catalog data).
- Understands the business impact of inconsistent metrics and can fix root‑cause issues.
- Focus on Reporting Reliability
- Can stabilize breaking dashboards, fix discrepancies in KPIs, and ensure views and marts produce consistent outputs despite upstream messiness.


**Communication & Collaboration**
- Excellent Communication Skills
- Able to interface smoothly with:
- Revenue teams
- RevOps
- Non-technical or semi‑technical stakeholders
- Can extract the “why” behind reporting requests, not just replicate dashboards blindly.


**Cross-Functional Fit**
- Comfortable participating in stakeholder interviews as part of the hiring loop
- Expected to contribute to clarity, prioritization, and translation of business needs into technical work.


**Experience Level & Qualities**
- Likely 7–10+ years in data, given the complexity of the environment.
- Comfortable operating in ambiguity, making high-judgment calls, and navigating legacy systems.
- Capable of balancing short-term triage with longer-term thinking.


**Cultural & Work Style Fit**
- Pragmatic: understands there’s no “clean slate” right now.
- Thrives in messy ecosystems and can create order without requiring a full architecture reboot.
- Comfortable working with distributed teams (LATAM, US, UK).

8374 - Data Engineer Data

### Job Title: Quality Engineer (Junior – Senior)
**Department:** Engineering / Quality Assurance
### **Role Summary**
We are looking for a Quality Engineer who views quality as a lifecycle, not a phase. Unlike an SDET who focuses on building the _tools_ for testing, the Quality Engineer focuses on the _strategy, coverage, and integrity_ of the product. You are the voice of the user and the gatekeeper of the release. This role ranges from Junior to Senior levels, scaling from test execution to strategic quality leadership.
### **Core Responsibilities (All Levels)**
- **Test Planning & Design:** Analyze product requirements and technical specs to create comprehensive test plans and test cases (Smoke, Sanity, Regression, Functional).
- **Defect Management:** rigorous reporting of defects with clear reproduction steps, logs, and evidence. You manage the bug lifecycle from discovery to verification.
- **Risk Analysis:** Proactively identify areas of high risk in the codebase and product logic before testing begins.
- **Release Management:** Execute regression suites and sign off on Release Candidates (RC) before General Availability (GA).

### **Level-Specific Expectations**
#### **Junior Quality Engineer**
- **Focus:** Execution & Accuracy.
- **Scope:** You execute provided test cases and perform exploratory testing on assigned features.
- **Requirement:** High attention to detail. You can distinguish between a user error, a frontend bug, and a backend error.
- **Mentorship:** You learn the product domain and the SDLC process under the guidance of Senior QEs.

#### **Mid-Level Quality Engineer**
- **Focus:** Independence & Depth.
- **Scope:** You own the test planning for entire epics. You participate in Grooming/Refinement sessions to challenge acceptance criteria _before_ code is written.
- **Requirement:** Proficiency in database validation (SQL) and API testing (Postman/Insomnia). You don't just click buttons; you verify data integrity.
- **Mentorship:** You onboard new team members and review test cases written by Juniors.

#### **Senior Quality Engineer**
- **Focus:** Strategy & Process.
- **Scope:** You define the Master Test Plan. You determine _what_ we automate vs. _what_ we test manually based on ROI. You coordinate cross-team integration testing.
- **Requirement:** Deep understanding of the business domain. You analyze production incidents to drive "Root Cause Analysis" (RCA) and implement process changes to prevent recurrence.
- **Mentorship:** You act as the Quality Lead for the squad, mentoring developers on testing best practices and advocating for "Quality First" culture.

### **Technical & Process Requirements**
**Methodology & Process**
- **SDLC/STLC:** Deep understanding of the Software Testing Life Cycle within Agile/Scrum environments.
- **Test Management:** Proficiency with tools like Jira, Xray, TestRail, or Zephyr.
- **Documentation:** Ability to write clear, concise, and reproducible technical documentation.

**Technical Competency (Language Agnostic)**
- **API Testing:** Ability to validate headless services using tools like Postman, SOAPUI, or curl. Understanding of JSON/XML payloads and HTTP response codes.
- **Database:** Ability to write SQL joins and queries to verify backend data state.
- **Logs & Debugging:** Comfort reading server logs (e.g., Splunk, Datadog, Kibana) to isolate errors.
- **Automation Awareness:** Ability to execute and debug existing automation scripts (even if not writing the framework from scratch).

**Soft Skills**
- **Communication:** Ability to push back on Product Management or Engineering when quality criteria are not met.
- **Critical Thinking:** Ability to think purely in "edge cases" and "happy paths."

### **Success Metrics**
- **Junior:** Percentage of valid bugs reported vs. "works as designed" rejections.
- **Mid:** Test coverage depth on new features; speed of defect cycle time.
- **Senior:** Reduction in production leakage (escaped defects); improvement in overall team velocity due to clearer requirements and test plans.

8372 - QA

### Job Title: Software Development Engineer in Test (Junior – Senior)
**Department:** Engineering / Quality Assurance **Reports To:** QA Manager / Engineering Lead
### **Role Summary**
We are looking for Engineers who specialize in Quality. You will not be "writing scripts" for manual cases; you will build the infrastructure, tools, and automated safety nets that allow our development teams to ship faster with confidence. This role ranges from Junior to Senior levels, with expectations scaling from test implementation to system architecture.
### **Core Responsibilities (All Levels)**
- **Test Automation:** Design, develop, and maintain automated test scripts for functional, regression, and performance testing.
- **Pipeline Integration:** Integrate automated tests into CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) to enable continuous delivery.
- **Bug Lifecycle:** Identify, document, and track defects. more importantly, perform root cause analysis to prevent recurrence.
- **Code Review:** Participate in code reviews for both feature code and test automation code to ensure testability and maintainability.

### **Level-Specific Expectations**
#### **Junior SDET**
- **Focus:** Execution & Learning.
- **Scope:** You will work primarily on existing frameworks, adding test coverage for new features and fixing flaky tests.
- **Requirement:** Ability to write clean code in at least one language and understand basic testing concepts (positive/negative testing, boundary analysis).
- **Mentorship:** You will receive guidance on architectural decisions but are expected to own your code quality.

#### **Mid-Level SDET**
- **Focus:** Design & Ownership.
- **Scope:** You own the quality of specific features or microservices. You design the test strategy for new epics from scratch.
- **Requirement:** Proficient in API testing, database validation, and mocking dependencies. You can set up a test environment without hand-holding.
- **Mentorship:** You mentor Junior SDETs on coding standards and review their PRs.

#### **Senior SDET**
- **Focus:** Architecture & Strategy.
- **Scope:** You build the _frameworks_ others use. You define the company-wide quality strategy (e.g., determining the right balance of Unit vs. Integration vs. E2E).
- **Requirement:** Expert in system design. You understand how to test complex distributed systems, implement observability (tracing/monitoring), and optimize pipeline performance.
- **Mentorship:** You drive technical initiatives, evaluate new tools, and act as a technical lead for the QA organization.

### **Technical Requirements (Language Agnostic)**
**Foundational Skills**
- **Computer Science:** Solid understanding of Data Structures, Algorithms, and O(n) notation.
- **Programming:** Fluency in **any** modern object-oriented language (e.g., Java, C#, Python, TypeScript, Go).
- **Version Control:** Deep understanding of Git (branching, merging, rebasing, pull request workflows).

**Test Engineering**
- **Frameworks:** Experience building or significantly extending automation frameworks (not just record/playback tools).
- **API Testing:** comprehensive understanding of REST/gRPC protocols, HTTP status codes, and payload validation.
- **Databases:** Ability to write complex SQL queries for data validation and test data seeding.

**DevOps & Infrastructure**
- **CI/CD:** Experience configuring build pipelines and understanding "Quality Gates."
- **Containerization:** Practical experience with Docker (spinning up containers for test execution).

### **Preferred Qualifications**
- Experience with Cloud Platforms (AWS, Azure, or GCP).
- Knowledge of Non-Functional Testing (Load, Stress, Security).
- Experience with Service Virtualization / Mocking (e.g., WireMock).
- Understanding of Microservices Architecture.

### **Success Metrics**
- **Junior:** Test stability and coverage increase.
- **Mid:** Reduction in escape defects and improved regression cycle time.
- **Senior:** Reduction in "Time to Detect" and "Time to Recovery" for production issues; adoption rate of internal quality tools.

8371 - SDET QA Automation

- Backend Python / FastAPI
- Excel
- Some requisite amount of capital markets/institutional investing domain expertise

8368 - Python Python

**Role Level and Experience:**  the team is seeking candidates who can independently drive projects, specifically strong developers, database engineers, or DevOps professionals, without the need for leadership or scrum management, ideally with 5-7 years of relevant experience.

**Technical Stack Requirements:** the position is database-centric, requiring expertise in Cosmos DB, NoSQL, SQL Server, and Azure managed services, with additional skills in data engineering and ETL processes, and backend development using .NET, with potential future migration to Java.

**Migration Project Details:** the upcoming migration from NoSQL to SQL databases, emphasizing the need for candidates who understand database patterns and architecture, and can assist with schema design and relational table creation as part of the migration process.

**Azure Services and Infrastructure:** the use of common Azure services such as Key Vault, web app functions, and message queues, noting that infrastructure experience is a nice-to-have but not mandatory for the role.

**Troubleshooting Migration Issues:**  Client highlighted the need for candidates who can triage and resolve issues during migrations, particularly those related to Cosmos DB, as new product versions may introduce unforeseen challenges.

8364 - C# C#

## **Senior Full-Stack Engineer (JavaScript / TypeScript)**
We are looking for a **Senior Full-Stack Engineer** with a strong JavaScript foundation to join our team in a long-term client engagement. This role is **frontend-leaning** and centered on **plain JavaScript and TypeScript**, working within a mature and evolving codebase. The environment includes **Angular**, **PHP**, **Node.js** and **AWS**, and requires comfort navigating a multi-technology stack.
The ideal candidate is adaptable, communicates clearly, and can contribute beyond pure implementation by supporting maintainability, knowledge sharing, and team growth.
### **Key Responsibilities**
- Develop and maintain frontend-heavy applications primarily using **plain JavaScript and TypeScript** in a complex existing codebase.
- Enhance and maintain frontend features.
- Contribute to backend development using **PHP or Node.js**.
- Collaborate on cloud-related work, including applications and services hosted on **AWS**.
- Participate in technical discussions focused on maintainability, scalability, and gradual modernization.
- Deliver knowledge transfer (KT) sessions and support onboarding or upskilling of team members.
- Act as a subject matter expert in JavaScript and selected internal systems.
- Provide guidance and light mentorship to other engineers, helping raise overall team capability.

### **Required Skills & Experience**
- Strong professional experience with **JavaScript and TypeScript**.
- Solid background in frontend application development and familiarity with **Angular**
- Full-stack experience, including backend work with **PHP or Node.js**.
- Familiarity with **AWS** and cloud-hosted application environments.
- Comfort working across a **loosely defined or evolving tech stack**.
- Strong understanding of frontend architecture, performance, and long-term maintainability.
- Clear communication skills with both technical and non-technical stakeholders.

### **Nice to Have**
- Deeper experience with **AWS** services or cloud architecture.
- Experience contributing to technical leadership or early architectural discussions.
- Prior experience mentoring or coaching developers.
- UI/UX sensibility or strong attention to usability and user experience.

8356 - React JavaScript

**Sr. Data Scientist**

Be a pioneer in business, education, and global impact by joining the team - a “startup with assets,” where you will have the chance to deploy cutting-edge digital- and emerging-technology education solutions. Where else can you make a difference at the intersection of cutting-edge technology, world-class education, noble purpose, and timeless legacy?
As a Senior Data Scientist, you will collaborate with the Data Science and Machine Learning team and will create data science, machine learning, and AI solutions to better address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large). You will have the chance to guide and continuously improve the ways in which we engage, educate, and empower people around the world, combining the best of human touch and technology scale. You will experiment with everything from the latest AI algorithms and techniques to blended and immersive environments, multi-modal and varied-form content, and the most innovative research and teaching methodologies.
In this capacity, you will translate the needs of our cross-functional stakeholders into predictive models and production-grade algorithms and platforms and will drive value creation through personalized engagement, expanded reach, and experimental new ways of learning that will continue the organization's leadership in education, business, and societal impact.
You will contribute to the creation, delivery, and production of specific data science, machine learning and AI products for internal stakeholders; directly mentor other data professionals, data analysts, and machine learning engineers. In conjunction with the key partners, you will make technical decisions on data, technology, and ways of working.
**Duties and Responsibilities:**
- Develop analytical models and solutions / production-ready algorithms that solve real business problems, taking into account business needs and technology/operations landscape; lead interaction with internal stakeholders and technology on specific projects and initiatives.
- Apply data science, machine learning, and AI techniques to derive business value from the full range of internal and external data sets in a cloud environment.
- Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build initial code and provide documentation with ways of working to maximize time to value and re-usability.
- Translate complex data and methodology into strategic, operationally feasible insights and recommendations; automate implementation.
- Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in.
- Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new data science, machine learning, and AI technologies and tools that can boost team performance, innovation and business value.
- Embody the values and passions that characterize the organization, with empathy to engage with colleagues from a wide range of backgrounds.
- Promote data science, machine learning, AI, and digital and emerging technologies in relevant channels through community engagement, networking, speeches, and publications as applicable.
- Complete other responsibilities as assigned.

**Basic Qualifications**
- 3-5 years’ post-secondary education or relevant work experience

**Additional Qualifications And Skills** **Other Required Qualifications:**
- Advanced degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.
- 2-3 years’ experience in developing machine learning models with a track record of creating meaningful business impact and working with multiple stakeholders.
- 3-5 years’ experience with Python and SQL.
- Experience with cloud computing platforms and tools (AWS, GCP, or other).
- Expertise in multivariate statistical modeling (e.g. clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and machine learning (Random Forest, KNN, SVM, boosting and bagging, regularization etc.)
- Proficiency with data visualization tools (D3.js, R Shiny, Looker, Streamlit, or similar).
- Experience operationalizing end-to-end machine learning applications.

**Other Preferred Qualifications:**
- Experience with neural networks, deep learning, and reinforcement learning, using frameworks such as TensorFlow. Experience with Natural Language Processing (NLP), Large Language Models (LLMs), and/or Recommendation Engines.

8349 - AI AI

**Summary**
We are seeking a hands on Database Developer and Database Administrator to design, maintain, and optimize robust data models primarily on MongoDB, with supporting responsibilities in SQL Server. This role partners closely with engineering, QA, and analytics teams to ensure reliable, high performance data access for reporting and automation, including Tableau based analytics. The ideal candidate brings strong ownership of database design, performance tuning, documentation, and cross team collaboration.

**Required Experience**
• 4-7+ years of professional experience as a Database Developer and or Database Administrator
• Strong hands on experience with MongoDB, including schema design, indexing strategies, and use of the aggregation framework
• Proficiency with SQL Server, including T SQL, stored procedures, staging patterns, and performance tuning
• Solid understanding of data modeling principles for NoSQL databases
• Hands on experience designing, maintaining, and optimizing database objects and schemas
• Ability to create complex, high performance queries
• Experience supporting analytics and reporting use cases, including Tableau data sources
• Experience optimizing data models and queries to improve reporting performance
• Experience ensuring data consistency, integrity, and reliability across systems
• Experience collaborating with engineering and QA teams to enable reliable reporting and increased automation
• Strong documentation habits and clear stakeholder communication

**Preferred Experience**
• Experience implementing or supporting data governance practices, including access control, permissions, and roles
• Experience with ETL and data integration tools such as SSIS, Python, or Spark
• Experience working in environments with both relational and NoSQL databases

**General**
• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent professional experience

8343 - Data Engineer Data

JR 4024

**About This Job**
• Participate in technical design and contribute insights and ideas
• Lead a team of software developers and work towards delivery of the projects in timely fashion
• Coordinate and communicate with other tech teams and business analysts as needed
• Translate business requirements into viable and scalable applications.
• Design, develop and test outsystems applications using best practices and established coding standards
• Assess existing applications in performance architecture and design and refactor leveraging outsystems design patterns.
• Conduct root cause analysis using knowledge of applications, interfaces, and technology for defect resolution.
• Maintain a calm and professional demeanor at all times and consistently interact professionally and productively with all levels of employees.
Build flexible data models and seamless integration points.
- At least 6 years of experience developing web and mobile applications using outsystems.
- 4 yrs Experience in web technologies like ASP .NET, C#, or Java, HTML, CSS, JavaScript and RESTful APIs.
- At least 4 yrs Experience in working as a technical lead.
- Strong Expereince in working on FE technologies and customizing UI of OutSystems screens and creating custom components.
- Strong proficiency in the outsystems platform, including the use of Service Studio, Integration Studio.
- Strong proficiency in architecture patterns, solution design and high performing application development.
- Extensive experience in designing and developing scalable, secure and high-performance Outsystems applications.
- Extensive experience in developing screens, web blocks, timers, server/service actions, client actions, data actions etc. in outsystems
- Experience with working on relational database language like SQL/Oracle and writing T-SQL queries.
- Experience in using Outsystems architecture dashboard, discovery tool to validate application design and technical debt.
- Knowledge of relational data modelling principles and experience building database objects using E-R modelling tools.
- Experience in building apps with responsive web design compatible with various devices, exposing and consuming SOAP and RESTful APIs.
- Experience working in agile/scrum methodology of project delivery.
- Experience using tools like Azure Boards, Jira, confluence.
- Experience with outsystems lifetime, service center, ODC Portal and ODC Studio
- Ability to work with minimal oversight and proactively communicates status and risks to project leadership and posses strong problem solving skills.
- Outsystems certifications such as Reactive Web Developer is highly desirable.
- Experience in developing mobile applications using outsystems is preferable.

Outsystems Niche

8309 - Outsystems Niche

###### 
###### Job Description
Client is revolutionizing the world of data management and analytics with our innovative cloud data platform, purpose-built for petabyte-scale datasets. Our mission is to help organizations drastically reduce data costs while increasing their data retention.
We are looking for a  **Site Reliability Engineer (SRE)** to join our dynamic Services team. In this role, you will contribute to the reliability and scalability of our cutting-edge platform, ensuring exceptional solutions tailored to our customers’ unique needs. This is a highly technical, hands-on role that requires deep expertise in system reliability and automation.
###### Key Responsibilities
- **Infrastructure Reliability**: Deploy, maintain, and ensure a highly reliable fleet of Kubernetes clusters and deployments across multiple cloud platforms.
- **Service Optimization**: Design, implement, and maintain systems and processes to enhance the reliability, availability, and performance of our services.
- **CI/CD Management**: Build and optimize CI/CD tools and processes to ensure efficient and reliable deployments.
- **Monitoring and Incident Response**: Develop and manage monitoring, alerting, and incident response strategies to minimize downtime and enable rapid recovery.
- **Root Cause Analysis**: Conduct comprehensive root cause analyses for system failures, implementing long-term preventive measures.
- **Automation and Efficiency**: Automate repetitive tasks and optimize system performance to improve operational efficiency.
- **On-Call Support**: Participate in covering weekday business hours and once-monthly weekend shifts.

**Collaboration and Customer Engagement**
- **Cross-Functional Teamwork**: Work closely with software engineering, infrastructure, and product teams to integrate reliability practices into every stage of the development lifecycle.
- **Reliability Advocacy**: Champion SRE best practices and foster a culture of operational excellence across the organization.
- **Global Team Collaboration**: Collaborate with a distributed team of engineers worldwide to provide round-the-clock support.
- **Customer Support**: Interface with customers to address and resolve reported incidents, ensuring a seamless user experience.

###### Qualifications and Skills
- **SRE Expertise**: Proven experience as a Site Reliability Engineer or similar role, with a history of supporting complex distributed systems (minimum five years supporting complex distributed systems).
- **Observability Tools**: Experience with monitoring and debugging tools like Prometheus, Vector, Grafana, Superset, or Kibana.
- **Cloud Platforms**: Proficiency in at least one major cloud platform (AWS, GCP, Azure, or Linode).
- **Database Knowledge**: Experience with SQL databases; familiarity with PostgreSQL is a plus but not required.
- **Programming Skills**: Proficiency in programming languages such as Python, Go, or Rust.
- **Linux Expertise**: Strong experience with Linux systems, including performance tuning and system-level troubleshooting.
- **Communication Skills**: Excellent written and verbal communication skills, with the ability to convey technical concepts clearly to diverse audiences, including customers and cross-functional teams.

8285 - Site Reliability Engineer Cloud, Infrastructure and ITOps

8282 - Site Reliability Engineer Cloud, Infrastructure and ITOps

**Requirements:**
- **Advanced SQL** skills, including complex queries, performance tuning, and data transformations
- Experience investigating complex data sets to identify logical flaws, inconsistencies, or unexpected patterns in the absence of a known ground truth.
- Experience with **data modeling**, especially dimensional modeling and star schemas
- Solid experience with **Snowflake and cloud‑based data warehousing** concepts
- Strong background in data engineering, particularly **ETL/ELT** development
- Proficiency in **Python** for data processing and automation
- Ability to operate effectively in ambiguous environments and help create clarity where needed
- A proactive mindset - you naturally look for issues before they escalate and push through hurdles with persistence
- **Strong communication skills** and willingness to engage, contribute ideas, and collaborate with the team
- Curiosity and a desire to understand the business context behind the data, even if it’s not your strongest area yet- **Problem-Solving**
- **Very proactive**
- **Strong communication (Over-communication)**

**Nice to Have:**
- Experience working in **hybrid analytics/reporting tools** roles / Exposure to **BI tools or analytics workflows**
- **Apache airflow** knowledge
- Familiarity with internal data governance frameworks or enterprise data management processes

8277 - Data Engineer Data

JR 3985

Developer
Essential Duties and Responsibilities
•    Researches, documents, and implements program requirements and specifications
•    Writes, translates, and codes software programs and applications according to the specification as needed
•    Runs and monitors performance tests on new and existing software for the purposes of correcting mistakes, isolating areas of improvement, and general debugging
•    Cultivates and disseminates knowledge of development best practices
•    Code reviews.
•    Maintains guidelines and coding standard documentation
•    Interacts regularly with managers and team members to field technical queries and questions
Skills:
•   5+ years of experience in C# .NET Development
•   3+ years of experience in SQL
•   2+ years of experience in Angular2+
•   Solid experience using C# / .Net standards and design patterns and dependency injection
•   Solid experience using .Net Core
•   Solid experience using Linq and EF Code First
•   Solid experience writing Unit and Integration tests (preferably using xUnit)
•   Solid experience designing and implementing REST APIs
•   Solid experience using Git, branching and resolving merge conflicts
•   Experience creating design documentation, roadmaps, flow diagrams and coding standards
•   Must be a team player with the ability to work with all parts of the organization
•   Strong communication skills
•   Problem-solving skills and the ability to get the job done

8265 - C# C#

JR 3457

Leads the development of AI-driven software solutions by managing a team of engineers focused on software development, machine learning, data engineering, and model deployment. Oversees project timelines, delegates tasks aligned with AI development cycles, and ensures code quality through rigorous testing and review. Designs and implements scalable AI architectures, resolves complex technical challenges, and collaborates with cross-functional teams—including data science, product, and infrastructure—to deliver high-impact, production-ready AI systems.
- Architects and leads the development of advanced AI software products. Defines AI platforms, components, and interfaces, and selects appropriate development tools and frameworks for machine learning, data processing, and model deployment. Designs complex AI systems, modules, and pipelines, applying cutting-edge methodologies and tools tailored to AI projects.
- Advises product and engineering teams on emerging AI technologies, development methodologies, and tooling improvements. Provides strategic direction for AI software development plans and ensures alignment with organizational goals. Offers technical guidance to development teams, fostering best practices in AI engineering.
- Collaborates across disciplines—including data science, product management, and infrastructure—to design scalable AI solutions. Writes and tests code for AI applications, ensuring robustness, performance, and maintainability. Oversees AI development projects from conception to deployment, managing timelines, deliverables, and team coordination.

8262 - AI AI


JR 3966

**About This Job**
Facilitates Agile ceremonies, coaches team on Agile principles, ensures team adheres to Scrum framework, removes impediments, tracks progress and metrics, communicates with stakeholders, manages project scope, budget, and timeline, and ensures timely delivery of high-quality products.
- Coaching the scrum team to apply appropriate processes to create successful products.
- Ensuring scrum principles and approaches are understood correctly by the development team and stakeholders; maximizing the performance of the team.
- Monitoring and improving the scrum process and project progress; helping solve impediments in the development process.
- Fostering self-organization and collaborative scrum team; sheltering the team from outside distractions to keep focus mainly on the agreed sprint goals.
- Facilitates daily stand-up meetings.
- Identifies and resolves project roadblocks.

8239 - Scrum Master Product Administration

JR 3871

**Sr Go Developer – High‑Level Sourcing Overview**
**Role:** Senior Go (Golang) Backend Engineer
**Experience Level:** Senior (strong backend engineer with meaningful Go experience)
**What We’re Looking For**
Please send candidates who meet the following **high‑level criteria**:
**✔ Hands-On Go Experience (Required)**
- **2–4+ years of real production Go experience**
- Has built, shipped, and supported backend services written in Go
- Not just academic, hobby, or “light exposure” experience

**✔ Microservices or API Development in Go (Required)**
- Experience developing **microservices** or **production‑grade REST APIs** in **Go**
- Understands **service boundaries, interfaces, and contracts**
- Comfortable working in **distributed service environments**

**✔ Distributed Systems Awareness (Optional)**
- Experience with queues (Kafka, RabbitMQ, etc.) — _optional_
- Event-driven systems — _optional_
- These are **nice to have**, not required

**✔ Production Ownership (Required)**
- Experience supporting live, production services
- Able to diagnose issues using **logs, metrics, tracing, dashboards**, etc.
- Understands operational impacts of code changes

**✔ Engineering Fundamentals (Required)**
- Writes clean, idiomatic Go code
- Strong testing practices (unit, integration, mocking)
- Familiarity with CI/CD pipelines
- Experience with Git workflows and Go modules

**✔ Ownership & Self‑Direction (Required)**
- Can take a task or problem and run with it independently
- Asks clarifying questions and gathers needed information proactively
- Communicates effectively
- Delivers work with minimal hand‑holding

**✔ Collaboration & Agile Environment (Required)**
- Able to work effectively in **Scrum or similar Agile environments**
- Participates in planning, estimation, reviews, and cross‑team coordination
- Communicates trade‑offs clearly and constructivelyJR 3871

Go JavaScript

8237 - Go JavaScript

8230 - Python Python

### **Position Title**: Backend Engineer
### **Reports To**: Director of Software Engineering
### **The Position:**
We’re seeking a Backend Engineer to design and build interoperability‑first services in Azure that securely move, transform, and expose healthcare data. You will work primarily in Python to integrate external systems via REST APIs, implement standards like FHIR and C‑CDA, generate compliant HTML‑to‑PDF documents, and deploy horizontally scalable services on Azure Container Apps or Azure Function Apps. Success in this role leads directly to lower turnaround time, higher data quality, and audit‑ready outcomes in a HIPAA/HITRUST environment.
### **Duties & Responsibilities:**
**Interoperability & Standards**
· Build FHIR integrations (e.g., Patient, DocumentReference, $match) including authentication (OAuth2 / SMART on FHIR) and robust error handling.
· Parse and transform C‑CDA clinical documents; map sections/entries into normalized data structures for downstream use.
· Contribute to HL7 v2/MDM/ADT flows as needed (e.g., payload parsing, message validation, ack/error handling).

**API Engineering (Python)**
· Design and implement internal/external REST APIs using Python (FastAPI/Flask), with clear contracts, validation, and versioning.
· Define OpenAPI specs, request/response schemas, and secure endpoints (authZ/authN, scopes, roles, and least‑privilege).

**Document Generation (HTML → PDF)**
· Create accessible and compliant HTML templates for request/authorization letters and correspondence; convert to PDF via server‑side renderers.
· Implement a reusable templating pipeline (variables, partials, localization, testing) and ensure PDFs meet client and regulatory requirements.

**Cloud‑Native Delivery (Azure)**
· Deploy horizontally scalable services on Azure Container Apps (with autoscale) or Azure Function Apps (Elastic Premium), backed by Application Insights and Log Analytics for observability.
· Use Azure Service Bus/Event Grid for reliable, event‑driven processing; design idempotent workers with poison‑queue handling.
· Manage secrets/config via Key Vault/App Configuration; implement blue/green or slot‑based releases.

**Data Engineering**
· Build resilient ingestion/transformation pipelines for FHIR/C‑CDA and API data across Blob/Data Lake/SQL/Cosmos DB stores.
· Model data for reporting/analytics while maintaining lineage and auditability; enforce PII/PHI handling rules.

**Quality, Observability & Reliability**
· Instrument services with structured logs, metrics, and traces; maintain dashboards and SLOs (latency, error rate, throughput).
· Write integration tests, contract tests, and data validation checks; automate with CI/CD (Azure DevOps/GitHub Actions).

**Compliance & Documentation**
· Ensure HIPAA/HITRUST controls are met across code, infrastructure, and logging.
· Maintain developer‑ready docs: API specs, field mappings, runbooks, and architectural decision records (ADRs).
### Experience & Qualifications:
### **Required**
· 3+ years in data engineering, platform/API development, or similar roles.
· **Strong Python skill**s (FastAPI/Flask), including packaging, virtual environments, and testing frameworks.
· Hands on building REST APIs and integrating external APIs; OpenAPI/Swagger proficiency.
· Practical experience with FHIR (resources, search parameters, auth) and C-CDA parsing/transformation.
· Knowledge of EPIC, Cerner, Athena, and other EMRs
· Proven deployment of horizontally scalable services on Azure (Container Apps or Function Apps), with observability and auto-scale.
· Solid understanding of cloud data stores (Azure SQL, Blob/Data Lake, Postgres SQL DB) and event systems (Service Bus/Event Grid).
· Git based workflows and CI/CD; security first mindset; excellent communication and collaboration.
. **Experience working in Healthcare**
**. Experience with - FHIR, Epic, Cerner, Athena, eClinicalWorks, or other EMRs.**
### **Preferred**
· Experience with HL7 v2 (MLLP/MDM/ADT) message handling.
· Familiarity with HTML→PDF engines and template systems.
· IaC (Bicep/Terraform/ARM), Azure API Management, and private networking patterns.
· Healthcare background and working knowledge of HIPAA/HITRUST controls.
### The Person:
The successful candidate will be a motivated data engineer who:
· Interoperability‑minded: Enjoys turning healthcare standards (FHIR/C‑CDA/HL7) into reliable, developer‑friendly services.
· Python craftsperson: Writes clean, testable code and well‑documented APIs.
· Cloud‑native pragmatist: Designs for horizontal scale, resiliency, and observability from day one.
· Compliance‑aware: Bakes auditability and privacy into every pipeline and endpoint.
· Collaborative: Works smoothly with product, ops, and security—translating requirements into running systems.

8228 - Python Python

We are looking for a **Senior Frontend Developer** to join Unosquare and work on high-impact, client-facing products for U.S.-based companies. In this role, you will build scalable, high-performance web applications using modern frontend technologies, with a strong emphasis on **React (Next.js), Vue.js or Angular 2+ and maintainable architectures**.

You will collaborate closely with designers, backend engineers, and product stakeholders, contributing not only through code but also through technical decisions, best practices, and mentorship.
### **Responsibilities**
- Design, build, and maintain modern web applications using **Angular 2+, Vue.js** or **React** (**Next.js) and TypeScript**
- Implement and optimize **SSR, SSG, and hybrid rendering strategies** for performance and SEO
- Contribute to or help define **microfrontend architectures**
- Write high-quality, maintainable, and well-tested code
- Collaborate with backend teams and contribute to **full-stack features** when needed
- Apply testing best practices (unit, integration, and component testing)
- Leverage **AI-assisted development tools** (e.g., GitHub Copilot, ChatGPT, Cursor, etc.) to improve productivity and code quality
- Participate in code reviews, architectural discussions, and technical planning
- Work closely with distributed teams in an agile environment

### **Required Qualifications**
- **5+ years of professional experience** as a Frontend or Software Engineer
- Strong expertise with React(**Next.js**) or Angular 2+, including **SSR and routing**
- Advanced knowledge of **TypeScript**
- Experience with **microfrontend patterns** (Module Federation or similar approaches)
- Solid understanding of **frontend testing** (unit and integration testing)
- Familiarity with **cloud-based environments**
- Experience working with **AI coding assistants** as part of daily development
- Some **full-stack experience**, including collaboration with APIs and backend services
- Strong communication skills and experience working with remote teams

### **Nice to Have**
- Hands-on experience with **AWS and/or Azure**
- Exposure to **microservices-based architectures**
- Experience with **end-to-end testing** (Playwright, Cypress, etc.)
- Experience acting as a **technical leader or mentor**
- Prior experience working directly with U.S. clients

### **What We Offer**
- 100% remote work with flexible schedules
- Long-term projects with top-tier U.S. companies
- Competitive compensation and benefits
- A strong engineering culture focused on quality, learning, and growth
- Opportunities to grow into **technical leadership roles** within Unosquare

8219 - React JavaScript

SR ./ Lead NET Developer 

**++Summary++**Our growing team is looking for experienced backend software engineer to help us build and maintain software systems in support of our business and partners.  If you are an experienced software engineer with a passion for good design and architecture, with great interpersonal skills we want you! The Senior Software Engineer will be responsible for providing support for contributing to new software development efforts on the most current .NET technology stack and Azure **++Responsibilities++**
- Create systems that are durable and flexible by developing for change – favor configurability over customization
- Create enterprise grade framework for engineers to leverage, with security, scalability
- Refactor and extend the existing codebase to fix defects and add features/functionality
- Architect and develop applications, workflows, and prototypes to meet the business’ needs
- Refine functional requirements and develop technical specifications
- Generate technical documentation to communicate architectural and design decisions
- Develop complete test plans, tests, and strong code coverage
- Resolve defects during QA testing, pre-production, production, and post-release cycles
- Communicate & collaborate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts

**++Education and Experience++**
- Bachelor’s degree in Computer Science or related field, Master’s degree a plus
- 5+ years of software development experience including
- Strong portfolio of work showing experience developing secure and standards-compliant code across multiple platforms. (Java, Microsoft stack as well as Open Source technology)
- Solid conceptual knowledge of design patterns and language agnostic design experience
- Test driven development mindset and strong discipline of writing extensive tests for every production code ship
- Experience with Cassandra or Cosmos DB or other NO SQL databases
- ​Experience with multi-tenant architectures in the SaaS space
- Fluent in several of the following languages/platforms/libraries: Java and .NET
- Strong understanding of API’s and web service concepts such as REST, SOAP, and XML/JSON business object representations
- Experience developing API's utilizing REST architecture
- Ability to handle a fast-paced environment for iterative project turnarounds on mission & revenue critical, customer-facing applications
- Experience with Agile development methodologies such as Scrum and Extreme Programming
- Git, Jira, Confluence experience
- Experience is queue based systems like RabbitMQ, MSMQ, Kafka, Event Hub is preferred.
- Knowledge of Relation databases like Oracle/SQL server.
- Experience in .Net Core, Azure is preferred

8216 - C# C#

# **Senior/Lead Node.js Engineer**

(6+ years of professional experience)
## **About the Role**
We are looking for a highly skilled **Senior or Lead Node.js Engineer** with a strong background in building scalable backend services and hands-on experience integrating complex systems. The ideal candidate brings deep expertise in modern JavaScript/TypeScript backend development, strong API design fundamentals, and working knowledge of at least one modern frontend framework (React, Angular, or Vue.js).
This role is backend-focused, though occasional collaboration with frontend teams is expected. Experience with AWS and automated testing is strongly preferred.
## **Responsibilities**
- Design, develop, and maintain **scalable backend services** using Node.js and TypeScript.
- Build and optimize **RESTful and GraphQL APIs**, data models, and integration layers.
- Mentor other developers and build learning paths for the team.
- Collaborate with frontend teams to ensure seamless integration across the stack.
- Implement **unit testing and integration testing** using modern test frameworks (Jest, Mocha, etc.).
- Design and maintain cloud-native solutions on **AWS** (Lambda, ECS, S3, DynamoDB, CloudWatch, etc.).
- Work closely with product managers, architects, and cross-functional teams to define technical requirements and deliver high-quality software.
- Participate in code reviews, contribute to engineering best practices, and improve development processes.
- Troubleshoot, debug, and optimize application performance and reliability.

## **Required Qualifications**
- **6+ years of professional experience** in software development.
- **Strong expertise in Node.js** (Express, Fastify, NestJS or similar).
- Experience working with **JavaScript or TypeScript** in production environments.
- Solid understanding of **backend architecture**, API design, authentication, and microservices.
- Experience integrating with **third-party services, internal APIs, and databases** (SQL or NoSQL).
- Experience writing **unit tests, integration tests, and using CI/CD pipelines**.
- Working experience on at least one frontend framework: **React, Angular, or Vue.js**.
- Full-stack experience.
- Hands-on experience with **AWS cloud services**.
- Strong communication skills and the ability to work in a distributed, collaborative environment.

## **Preferred Qualifications**
- Experience with **serverless architectures** (AWS Lambda).
- Experience with **message queues** (SQS, Kafka, RabbitMQ).
- Knowledge of **containerization** (Docker) and orchestration (ECS/EKS/Kubernetes).
- Familiarity with observability tools (New Relic, Datadog, OpenTelemetry).
- Experience with **DevOps practices**.

## **What We Offer**
- 100% remote work.
- Collaborative engineering culture with high-impact projects.
- Opportunities for growth, mentorship, and learning modern technologies.

Node.js JavaScript

8197 - Node.js JavaScript

JR 3868

Facilitates Agile ceremonies, coaches team on Agile principles, ensures team adheres to Scrum framework, removes impediments, tracks progress and metrics, communicates with stakeholders, manages project scope, budget, and timeline, and ensures timely delivery of high-quality products.
- Coaching the scrum team to apply appropriate processes to create successful products.
- Ensuring scrum principles and approaches are understood correctly by the development team and stakeholders; maximizing the performance of the team.
- Monitoring and improving the scrum process and project progress; helping solve impediments in the development process.
- Fostering self-organization and collaborative scrum team; sheltering the team from outside distractions to keep focus mainly on the agreed sprint goals.
- Facilitates daily stand-up meetings.
- Identifies and resolves project roadblocks.

8186 - Scrum Master Product Administration

### **Summary**
We are seeking a **Lead Data Scientist** to drive the computer vision capabilities of our AI-powered manufacturing intelligence platform. This role combines advanced vision modeling, multimodal reasoning, and data engineering to assess manufacturability and printability from images, schematics, and part metadata. The ideal candidate has deep expertise in applied computer vision, strong hands-on experience with data engineering pipelines that support ML workflows, and a background building production AI systems using Azure Machine Learning, Databricks, and agentic AI frameworks such as LangChain and LangGraph. This role is highly cross-functional and foundational to the platform’s intelligence layer.
### **Required Skills and Experience**
- **Computer Vision & Deep Learning:** Strong experience building, training, and evaluating CNNs, transformers, or multimodal models for image classification, feature extraction, defect detection, or segmentation using PyTorch or TensorFlow.
- **Industrial or Applied Vision Experience:** Background applying computer vision to real-world inspection, materials identification, part recognition, or manufacturing-related imagery — even if not directly in additive manufacturing.
- **Data Engineering for AI:** Demonstrated ability to build data ingestion and transformation pipelines that support ML workflows, including:
- Large-scale image ingestion
- Feature extraction and embedding generation
- Schema and metadata alignment
- Delta Lake pipelines
- Feature engineering and feature store integration
- Automated data validation and drift checks
- **Azure ML & MLOps:** Hands-on experience deploying, monitoring, and managing models using Azure ML, including model versioning, batch inference jobs, online endpoints, environment management, and automated training pipelines.
- **Databricks & Distributed Processing:** Proficiency in SQL, PySpark, and distributed compute patterns used for preparing, transforming, and analyzing large image and metadata datasets.
- **Agentic AI & Orchestration Experience:** Familiarity with LangChain, LangGraph, or similar frameworks for building tool-using AI agents and orchestrating multi-step, model-mediated workflows.
- **Model Observability & Drift Detection:** Experience implementing telemetry, monitoring pipelines, and drift detection using Azure ML Monitoring, Application Insights, or custom statistical techniques.
- **Software & Data Foundations:** Strong Python engineering skills, solid understanding of APIs and microservices, familiarity with structured/unstructured data modeling, and experience producing reproducible ML workflows.

### **Preferred Skills and Experience**
- Experience in manufacturing, industrial automation, mechanical engineering, or related computer vision applications.
- Experience processing 3D or geometric data: CAD files, point clouds, meshes, or depth imagery.
- Familiarity with vector database or embedding search systems used for multimodal reasoning.
- Experience optimizing models for performance, latency, and cost in production settings.
- Understanding of secure ML development practices aligned with NIST 800-53.
- Prior leadership experience mentoring junior data scientists and collaborating closely with data engineers and platform engineers.

### **General Requirements**
- **Education:** Degree (Master’s or Ph.D. preferred) in Computer Science, Data Science, Engineering, or a closely related field.
- **Experience:** 7+ years in machine learning or applied data science roles, with at least 3 years in computer vision and 3+ years in data engineering for ML pipelines.
- **Soft Skills:** Excellent communication, strong architectural thinking, ability to influence engineering and product teams, and comfort working in a fast-paced, iterative delivery environment.

Data Scientist AI

8175 - Data Scientist AI

Senior Azure Engineer with proven knowledge of architecting and Deploying Azure services within NIST 800-53 or similar requirements. 
 
Must Haves: 
Azure knowledge within regulated environments. Knowledge and experience of deploying Services to meet regulatory compliance in NIST 800-53. Support a Security by Design approach  
 
Experience of the following services
- Applications Gateway
- WAF
- Container App Environment and Container Apps
- Container registries
- Key Vault
- Cosmos DB
- SQL Server – Postgres
- Databricks deployment
- Integration with Azure AI services
- Azure Policy
- Private Link, Azure networking
- Entra and Entra Managed identities

Nice to Haves
- Azure Sentinel
- Log management
- Azure monitor
- Azure Auditing
- External Identities
- Identity Governance

Tooling:
- Terraform
- Github / Github Actions
- CI/CD
- SAST and DAST integration
- Deployment pipelines

8174 - DevOps Cloud, Infrastructure and ITOps

Are you looking for a career that makes a positive difference in your life and reimagines learners and educators across the globe?   Do you want to work with fun and social people in a positive and engaged virtual office environment?
We are hiring a **Senior Site Reliability Engineer **who will build and support reliable, high-capacity, and well-performing systems in support of our mission to protect and improve our customer platforms, with an ever-watchful eye on reliability, security, performance, cost, and operational excellence.
As a Sr Site Reliability Engineer, you will collaborate in a DevOps model with product development teams; designing, deploying, and managing automation tools that increase predictability as well as time to market while reducing cost.
**Our cloud stack includes:**
- **Cloud:** AWS ( Cloudfront, S3, EC2, ECS, SES, SQS, SNS, Load Balancing, VPC, Config, Systems Manager, Lambda, API Gateway, DB services many more).
- **Cloud (**OCI cloud know how a plus. ( Exacs,OCI Compute, Load Balancers, Networking, VCN, Object storage)
- **Infrastructure as Code**: Terraform
- **Programming**: Python, Golang, Bash , Ansible
- **Containers**: AWS ECS
- **Security:** Rapid7, WAF
- **Web**: Apache httpd, Apache Tomcat, Angular
- **Config Management and provisioning**: Ansible, Packer
- **Telemetry:** NewRelic, CloudWatch, DataDog
- **DevSecOps**: Artifactory, Jenkins, CircleCI, SonarQube, Jfrog X-Ray, Control Tower, GitHub Enterprise and more

**Your contributions**
- _Cloud Engineering_
    - Collaborate with product development teams in a DevOps model, designing, deploying, and managing automation tools to enhance predictability and accelerate time to market
    - Identify the highest-impact opportunities to optimize existing systems; ensuring “right-sized” solutions in consideration of technical and business constraints
    - Drive initiatives to enhance system reliability and performance
    - Ensure repeatability, traceability, and transparency of our infrastructure automation (infrastructure-as-code, monitoring-as-code)
    - Participate in continual learning of the AWS ecosystem, game day scenarios, and professional conferences
    - Actively monitor AWS costs, using optimization tools to maximize ROI while meeting Service Level Objectives.
- _Observability Engineering_
    - Ownership of reliability, uptime, system security, cost, operations, capacity, resiliency, and performance-analysis thereof
    - Leads initiatives to improve the reliability and stability of applications and platforms using data-driven analytics to improve service levels
    - Ensure that the architecture and deployment models are adequately designed to meet SLA commitments
    - Serve as the primary point of contact during major incidents for your application, and demonstrate the ability to identify and resolve issues that trigger on-call alarms.
    - Maintain and enhance telemetry systems to improve visibility into application performance and business metrics, ensuring operational workloads are effectively managed
    - Develop, communicate, collaborate, and monitor standard processes to promote the long-term health and sustainability of operational development tasks
- _DevSecOps_
    - Support healthy software development practices, including complying with agile software development methodology, building standards for code reviews, work packaging, and continuous delivery
    - Partner with CyberSecurity and develop plans and automation to respond to new risks and vulnerabilities
- _Resiliency Engineering_
    - Collaborate with dev teams to identify failure points and blast radius of systems
    - Validate the effectiveness of monitoring and observability configurations
    - Coordinate failure injection testing
    - Observe and document steady state production levels, growth patterns
    - Plan and forecast for seasonal growth, communicate trend lines with leadership, enhance infrastructure scaling plans to accommodate 2x planned load
    - Coordinate improvements of existing software and infrastructure to meet resiliency goals
- Mentor and nurture engineers across varying levels of experience; foster growth by setting high-reaching goals, and providing support to achieve them.
- Ability to expand and collaborate across different levels and stakeholder groups.
- Documents and shares knowledge within the organization via internal forums and communities of practice.
- Good to have Kubernetes experience, EKS or managed their own Kubernetes clusters
    - Must have used terraform to create infrastructure within AWS. Must bring an automation-first mindset to the team.
    - On-call participation required. Person will lead triage bridges when necessary
    - Will be expected to monitoring customer experience, application metrics like golden signals/KPIs and infrastructure health.
    - Needs to work proactively across team boundaries on a daily basis.

**Qualifications**
- Experience as a software engineer, with practical experience developing, debugging, and deploying enterprise applications
- Experience with infrastructure automation technologies, preferably Terraform
- Experience in container/container-fleet-orchestration technologies, preferably EKS or ECS
- Versatility with troubleshooting diverse sets of hosting technologies:  web server platforms, application platforms, operating systems, network components, virtualization technologies, storage, and database platforms.
- Experience with continuous-deployment based software development lifecycles (e.g. CI/CD)
- Experience with application caching strategies and high concurrency workloads
- Strong communication, problem solving, root cause analysis and systems engineering skills
- Ability to design and manage escalation response plans from monitoring, react, respond, remediate and retrospect in culturally aligned (proactive, customer focused, collaborative, data-driven) ways.
- Demonstrated expertise building and managing highly scaled production infrastructure in the cloud
- BS Degree in Computer Science (or related technical field and/or equivalent industry experience)

8094 - Site Reliability Engineer Cloud, Infrastructure and ITOps

8093 - Site Reliability Engineer Cloud, Infrastructure and ITOps

## **JR3673**

**Intermediate Go Developer – High‑Level Sourcing Overview**
**Role:** Senior Go (Golang) Backend Engineer **Experience Level:** Senior (strong backend engineer with meaningful Go experience)
**What We’re Looking For**
Please send candidates who meet the following **high‑level criteria**:
**✔ Hands-On Go Experience (Required)**
- **2–4+ years of real production Go experience**
- Has built, shipped, and supported backend services written in Go
- Not just academic, hobby, or “light exposure” experience

**✔ Microservices or API Development in Go (Required)**
- Experience developing **microservices** or **production‑grade REST APIs** in **Go**
- Understands **service boundaries, interfaces, and contracts**
- Comfortable working in **distributed service environments**

**✔ Distributed Systems Awareness (Optional)**
- Experience with queues (Kafka, RabbitMQ, etc.) — _optional_
- Event-driven systems — _optional_
- These are **nice to have**, not required

**✔ Production Ownership (Required)**
- Experience supporting live, production services
- Able to diagnose issues using **logs, metrics, tracing, dashboards**, etc.
- Understands operational impacts of code changes

**✔ Engineering Fundamentals (Required)**
- Writes clean, idiomatic Go code
- Strong testing practices (unit, integration, mocking)
- Familiarity with CI/CD pipelines
- Experience with Git workflows and Go modules

**✔ Ownership & Self‑Direction (Required)**
- Can take a task or problem and run with it independently
- Asks clarifying questions and gathers needed information proactively
- Communicates effectively
- Delivers work with minimal hand‑holding

**✔ Collaboration & Agile Environment (Required)**
- Able to work effectively in **Scrum or similar Agile environments**
- Participates in planning, estimation, reviews, and cross‑team coordination
- Communicates trade‑offs clearly and constructivelyJR 3871

8028 - Go JavaScript

**Overview**
Are you looking for a career that makes a positive difference in your life and reimagines learners and educators across the globe? Do you want to work with fun and social people in a positive and engaged virtual office environment?We are hiring a **Senior Site Reliability Engineer** who will build and support reliable, high-capacity, and well-performing systems in support of our mission to protect and improve the customer platforms, with an ever-watchful eye on reliability, security, performance, cost, and operational excellence.As a **Sr Site Reliability Engineer**, you will collaborate in a DevOps model with product development teams; designing, deploying, and managing automation tools that increase predictability as well as time to market while reducing cost.

**Our Cloud Stack Includes**

**Cloud:**
AWS (Cloudfront, S3, EC2, ECS, SES, SQS, SNS, Load Balancing, VPC, Config, Systems Manager, Lambda, API Gateway, DB services and many more)
Azure (Azure cloud know how, subscription groups, security, SQL Server)
Administer and support **Windows Server (2016/2019/2022)** in Azure and hybrid environments.
Configure and manage **Active Directory, Azure AD, and hybrid identity (AAD Connect), Group Policy, DNS, DHCP**
Perform **OS hardening, patching, upgrades, and lifecycle management**
Azure Arc, manage Azure services such as **VNETs, NSGs, Load Balancers, Azure Backup, Azure Monitor, Log Analytics**
Proficiency in **PowerShell scripting**
Cloud (OCI cloud know how a plus — Exacs, OCI Compute, Load Balancers, Networking, VCN, Object Storage)
**Infrastructure as Code:** Terraform
**Programming:** Python, Golang, Bash, Ansible
**Containers:** AWS ECS
**Security:** Rapid7, WAF
**Web:** Apache httpd, Apache Tomcat, Angular
**Config Management and Provisioning:** Ansible, Packer
**Telemetry:** NewRelic, CloudWatch, DataDog
**DevSecOps:** Artifactory, Jenkins, CircleCI, SonarQube, Jfrog X-Ray, Control Tower, GitHub Enterprise and more

**Your Contributions**
**
Cloud Engineering**

Collaborate with product development teams in a DevOps model, designing, deploying, and managing automation tools to enhance predictability and accelerate time to market
Identify the highest-impact opportunities to optimize existing systems; ensuring "right-sized" solutions in consideration of technical and business constraints
Drive initiatives to enhance system reliability and performance
Ensure repeatability, traceability, and transparency of our infrastructure automation (infrastructure-as-code, monitoring-as-code)
Participate in continual learning of the AWS ecosystem, game day scenarios, and professional conferences
Actively monitor AWS costs, using optimization tools to maximize ROI while meeting Service Level Objectives

**Observability Engineering**

Ownership of reliability, uptime, system security, cost, operations, capacity, resiliency, and performance-analysis thereof
Leads initiatives to improve the reliability and stability of applications and platforms using data-driven analytics to improve service levels
Ensure that the architecture and deployment models are adequately designed to meet SLA commitments
Serve as the primary point of contact during major incidents for your application, and demonstrate the ability to identify and resolve issues that trigger on-call alarms
Maintain and enhance telemetry systems to improve visibility into application performance and business metrics, ensuring operational workloads are effectively managed
Develop, communicate, collaborate, and monitor standard processes to promote the long-term health and sustainability of operational development tasks

**DevSecOps**

Support healthy software development practices, including complying with agile software development methodology, building standards for code reviews, work packaging, and continuous delivery
Partner with CyberSecurity and develop plans and automation to respond to new risks and vulnerabilities

**Resiliency Engineering**

Collaborate with dev teams to identify failure points and blast radius of systems
Validate the effectiveness of monitoring and observability configurations
Coordinate failure injection testing
Observe and document steady state production levels, growth patterns
Plan and forecast for seasonal growth, communicate trend lines with leadership, enhance infrastructure scaling plans to accommodate 2x planned load
Coordinate improvements of existing software and infrastructure to meet resiliency goals
Mentor and nurture engineers across varying levels of experience; foster growth by setting high-reaching goals, and providing support to achieve them
Ability to expand and collaborate across different levels and stakeholder groups
Documents and shares knowledge within the organization via internal forums and communities of practice

**Additional Notes**

Good to have **Kubernetes experience (EKS or managing Kubernetes clusters)**
Must have used **Terraform to create infrastructure within AWS** and bring an **automation-first mindset** to the team
**On-call participation required**; this person will lead triage bridges when necessary
Will be expected to monitor **customer experience, application metrics such as golden signals/KPIs, and infrastructure health**
Needs to work proactively across team boundaries on a daily basis**Qualifications**

Experience as a **software engineer**, with practical experience developing, debugging, and deploying enterprise applications
Experience with **infrastructure automation technologies**, preferably Terraform
Experience in **container/container-fleet orchestration technologies**, preferably EKS or ECS
Versatility with troubleshooting diverse sets of hosting technologies including web server platforms, application platforms, operating systems, network components, virtualization technologies, storage, and database platforms
Experience with **continuous-deployment based software development lifecycles (CI/CD)**
Experience with **application caching strategies and high concurrency workloads**
Strong **communication, problem solving, root cause analysis, and systems engineering skills**
Ability to design and manage **escalation response plans from monitoring through remediation and retrospective processes**
Demonstrated expertise building and managing **highly scaled production infrastructure in the cloud
BS Degree in Computer Science** (or related technical field and/or equivalent industry experience)